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Artykuły w czasopismach na temat „KIS (Information retrieval system)”

Autor: Grafiati

Data publikacji: 29 lipca 2024

Data aktualizacji: 5 lipca 2025

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1

Faisal, Douglas Raevan, Fariz Darari, Muhammad Ilham Al Ghifari, et al. "A Hybrid Virtual Assistant for Legal Domain Based on Information Retrieval and Knowledge Graphs." Jurnal Ilmu Komputer dan Informasi 16, no. 2 (2023): 125–40. http://dx.doi.org/10.21609/jiki.v16i2.1152.

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Virtual assistants have gained popularity across various domains, including the legal field, where they serve to offer guidance and aid in the form of law retrieval. In this research, our aim is to develop a legal virtual assistant that combines knowledge graphs (KGs) and information retrieval (IR) techniques. This hybrid approach allows us to provide accurate answers extracted from structured interconnected data while simultaneously cater to a diverse range of legal inquiries. We categorize these inquiries into a few distinct use cases: definition lookup, law component lookup, sanctions, and domain knowledge. Our system encompasses a chatbot platform, knowledge graph querying, and information retrieval. Specifically, we construct a VA system over a legal knowledge graph pertaining to the Indonesian Act concerning Manpower or Labor (UU Ketenagakerjaan) and the Indonesian Act concerning the Creation of Jobs (UU Cipta Kerja). This marks the creation of the first legal virtual assistant in the Indonesian context that combines KG and IR methodologies. To evaluate the effectiveness of our prototype system, we conduct tests using a variety of labor law-related questions, ranging in difficulty. The integration of knowledge graphs and information retrieval proves to significantly improve the support provided for a wide range of potential applications in the legal field.

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Salvador V. Briones. "Discursive Web-Based Schizophyllum commune (Kurakding) Knowledge Bank: A Repository of Regional Knowledge for Sustainable Use and Development." Journal of Electrical Systems 20, no. 7s (2024): 2229–36. http://dx.doi.org/10.52783/jes.3958.

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Kurakding (Schizophyllum commune) mushrooms are renowned for their health-promoting and medical benefits and is considered a high-value farm product. Its popularity in Bicol Region, Philippines, makes it in-demand, which therefore makes it an expensive commodity. Recognizing the significance of this commodity, the Kurakding Information System (KIS) was designed and developed to serve as a repository of regional knowledge for its sustainable use and development. Specifically focusing on functionalities that allow the users to create content, retrieve knowledge, and interact with other users using social network services. During the design and development, an innovative software development model, the KIS Software Development Paradigm (KISSDP) was used. This model is a systematic integration of methods and techniques on software development practices adopting concepts and standards from Agile software development methodologies which establishes an explicit compliance with the ISO/IEC 25010 standards. Following Jakob Nielsen's principles for interaction design, KIS was subjected to rigorous testing and evaluation measuring the system's user interface in conformance with UI design standards. Achieving high ratings in usability (95.90%), acceptability (94.67%) and reliability (93.33%). Given the limited study on the development and evaluation of information systems designed to support the marginalized sectors in the country, it is our hope that this research study provides significant insights into the software quality principles and competencies as universal standards for various software development projects that boost favorable customer satisfaction and optimum user experience.

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Hitaka, Masatoshi, Hiroshi Nagamatsu, Hiroshi Kawahara, and Masamichi Terashita. "P-11. Utilization of retrieval tool of medical records in Dental Hospital Information System." Journal of the Kyushu Dental Society 56, no. 4 (2002): 182. http://dx.doi.org/10.2504/kds.56.182.

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Yusnaldi, Yusnaldi, and Husen Husen. "Analisis Sistem Pengendalian Internal Siklus Penjualan dan Penerima Kas Terhadap Pengendalian Piutang pada Koperasi Rukun Dwijo Tegal." Ilmu Ekonomi Manajemen dan Akuntansi 1, no. 2 (2020): 151–58. http://dx.doi.org/10.37012/ileka.v1i2.303.

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This research aims to update the analysis of the Internal control system of the sales cycle and the recipient of the cash against the control of accounts receivable On Cooperative Rukun Dwijo Tegal, which is very important for the progress of the cooperative. Cash is the object that is easily perverted for avoiding abuses then required the existence of an internal control system. This study uses qualitative methods, qualitative data is data in the form of words, schemes, drawings. The methods used in data retrieval is to interview, interview with Chief operations, data analysis and compare of the theory with the results of the data obtained. Examples of data taken among others: organizational structure, job description, internal policies, documentation, and internal control system flowchart sales cycle and the receipt of cash. Research results show that the division of tasks / responsibilities that are essential in the smooth running of the cooperative Rukun Dwijo Tegal. The sales system in cooperative Rukun Dwijo Tegal using cash sales system. The information is carried out by a cooperative Rukun Dwijo Tegal in record-keeping is already using the computer so that the resulting information is accurate and likely to occur in human error.Keywords: Internal control, sales, Cash Receipt and control of accounts receivable.

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Kumar, Ram, and S. C. Sharma. "Information Retrieval System." International Journal of Technology Diffusion 9, no. 1 (2018): 1–10. http://dx.doi.org/10.4018/ijtd.2018010101.

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Information Retrieval Systems (IRS) have dramatically changed the ways how people acquire information for their need. Information Retrieval (IR) enables user to find relevant document from collection of countless resources. This article presents an overview of IRS. Objectives of this article is to answer all the basic and specific questions related to IRS. In contrast to other review papers, the authors provide a complete understanding of IR in single paper. Starting from definition and importance it covers retrieval process, performance issues, and comparison among various approaches. This article also includes description of different models along with analysis of their merits and demerits. This article proposes a list of challenges, still unanswered by existing systems. Before offering a conclusion, the major applications of IR are also listed.

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Abimbola, Bola. "Intelligent Information Retrieval System." International Journal of Artificial Intelligence and Machine Learning 2, no. 1 (2022): 71. http://dx.doi.org/10.51483/ijaiml.2.1.2022.71-74.

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Sampey, Libby, Anne M. Finucane, and Juliet Spiller. "Shared electronic care coordination systems following referral to hospice." British Journal of Community Nursing 26, no. 2 (2021): 58–62. http://dx.doi.org/10.12968/bjcn.2021.26.2.58.

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In Scotland, the Key Information Summary (KIS) enables health providers to access key patient information to guide decision-making out-of-hours. KISs are generated in primary care and rely on information from other teams, such as community specialist palliative care teams (CSPCTs), to keep them up-to-date. This study involved a service evaluation consisting of case note reviews of new referrals to a CSPCT and semi-structured interviews with palliative care community nurse specialists (CNSs) regarding their perspectives on KISs. Some 44 case notes were examined, and 77% of patients had a KIS on CSPCT referral. One-month post-referral, all those re-examined (n=17) had a KIS, and 59% KISs had been updated following CNS assessments. CNSs cited anticipatory care planning (ACP) as the most useful aspect of KIS, and the majority of CNSs said they would appreciate KIS editing access. A system allowing CNSs to update KISs would be acceptable to CNSs, as it could facilitate care co-ordination and potentially improve comprehensiveness of ACP information held in KISs.

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Nissa', Nabilah Khoirun, Feby Erawantini, and Mochammad Choirur Roziqin. "Evaluasi Kariadi Information System pada Petugas Koding Rawat Jalan di RSUP dr. Kariadi Semarang." J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan 1, no. 3 (2020): 120–28. http://dx.doi.org/10.25047/j-remi.v1i3.1973.

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Based on a preliminary survey that I had done during the Field Work Practice at RSUP Dr. Kariadi Semarang.The output that was there produced the KIS system on the RME menu that was not yet in accordance with thewishes of the outpatient coding officer. In the KIS system, the SIMRS menu entry grouping encoding externalcauses or external causes only have 3 digits of 4 characters. The use of the KIS menu RME systemsometimes occurs errors that are not equipped with guidelines or guidelines if an error occurs. This studyaims to evaluate KIS (Kariadi Information System) users in outpatient coding officers. Use the methoddiscussed, namely the EUCS method to measure the level of satisfaction from using a system. The resultsthat have been obtained from this research in terms of the content (content) of the information obtained isquite helpful for coding officers. The lack of entry grouping coding on the external cause, if complete willbenefit the patient. In terms of accuracy (accuracy) still requires an accuracy process, for example, if the inputerror registers, the data that appears will be different and occasional errors also occur. In terms of format(display) the interface is quite attractive based on user needs. In terms of timeliness, the system is able toprovide up to date information. In terms of ease of use (ease of use) the system is easy to learn only the lackof guidance if there has been an error. This research resulted in several recommendations that IT staff officerscan receive input related to the constraints of the use of the coder officer system, the head of the medicalrecord conducts further evaluation and supervision of the use of the system.

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Mitchell, Matthew D., C. Michael White, Jeanne-Marie Guise, et al. "PP22 How Do Health System Leaders Use Evidence To Inform Action?" International Journal of Technology Assessment in Health Care 34, S1 (2018): 74–75. http://dx.doi.org/10.1017/s0266462318001940.

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Introduction:The US Agency for Healthcare Research and Quality (AHRQ) Evidence-based Practice Center (EPC) program sponsors the development of systematic reviews to inform clinical policy and practice. The EPC program sought to better understand how health systems identify and use this evidence.Methods:Representatives from eleven EPCs, the EPC Scientific Resource Center, and AHRQ developed a semi-structured interview script to query a diverse group of nine Key Informants (KIs) involved in health system quality, safety and process improvement about how they identify and use evidence. Interviews were transcribed and qualitatively summarized into key themes.Results:All KIs reported that their organizations have either centralized quality, safety, and process improvement functions within their system, or they have partnerships with other organizations to conduct this work. There was variation in how evidence was identified, with larger health systems having medical librarians and central bureaus to gather and disseminate information and smaller systems having local chief medical officers or individual clinicians do this work. KIs generally prefer guidelines, especially those with treatment algorithms, because they are actionable. They like systematic reviews because they efficiently condense study results and reconcile conflicting data. They prefer information from systematic reviews to be presented as short digestible summaries with the full report available on demand. KIs preferred systematic reviews from reputable entities and those without commercial bias. Some of the challenges KIs reported include how to resolve conflicting evidence, the generalizability of evidence to local needs, determining whether the evidence is up-to-date, and the length of time required to generate reviews. The topics of greatest interest included predictive analytics, high-value care, advance care planning, and care coordination. To increase awareness of AHRQ EPC reviews, KIs suggest alerting people at multiple levels in a health-system when new evidence reports are available and making reports easier to find in common search engines.Conclusions:Systematic reviews are valued by health system leaders. To be most useful they should be easy to locate and available in different formats targeted to the needs of different audiences.

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Choi, Okkyung, Kangseok Kim, Duksang Wang, Hongjin Yeh, and Manpyo Hong. "Personalized Mobile Information Retrieval System." International Journal of Advanced Robotic Systems 9, no. 1 (2012): 11. http://dx.doi.org/10.5772/50910.

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Building a global Network Relations with the internet has made huge changes in personal information system and even comments left on a webpage of SNS(Social Network Services) are appreciated as important elements that would provide valuable information for someone. Social Network is a relation between individuals or groups, represented in a graph model, which converts the concept of psychological and social relations into a logical structure by using node and link. But, most of the current personalized systems on the basis of Social Network are built and constructed mainly in the PC environment, and the systems are neither designed nor implemented in mobile environment. Hence, the objective of this study is to propose methods of providing Personalized Mobile Information Retrieval System using NFC (Near Field Communication) Smartphone, which will be then used for Smartphone users. Besides, this study aims to verify its efficiency through a comparative analysis of existing studies.

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Hong, Seok-Joo, and Young-Bae Park. "Information Retrieval System for R2SS." Journal of the Korea Contents Association 9, no. 12 (2009): 39–51. http://dx.doi.org/10.5392/jkca.2009.9.12.039.

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Md. Kowsher, Imran Hossen, and SkShohorab Ahmed. "Bengali Information Retrieval System(BIRS)." International Journal on Natural Language Computing 8, no. 5 (2019): 1–12. http://dx.doi.org/10.5121/ijnlc.2019.8501.

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Tewari, Ashish Kumar, Rashi, Gulshan Wadhwa, Sanjeev Kumar Sharma, and Chakresh Kumar Jain. "BIRS – Bioterrorism Information Retrieval System." Bioinformation 9, no. 2 (2013): 112–15. http://dx.doi.org/10.6026/97320630009112.

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SHIRAHASHI, Akihiro. "Information retrieval system through Internet." Journal of Information Processing and Management 37, no. 1 (1994): 19–26. http://dx.doi.org/10.1241/johokanri.37.19.

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Davcev, Danco, Dusan Cakmakov, and Vanco Cabukovski. "Distributed multimedia information retrieval system." Computer Communications 15, no. 3 (1992): 177–84. http://dx.doi.org/10.1016/0140-3664(92)90078-s.

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Chkiwa, Mounira, Anis Jedidi, and Faiez Gargouri. "Semantic / Fuzzy Information Retrieval System." International Journal of Information Technology and Web Engineering 12, no. 1 (2017): 37–56. http://dx.doi.org/10.4018/ijitwe.2017010103.

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In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.

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Gudi, Anirudh. "Hypertext Based Information Retrieval System." IETE Technical Review 12, no. 4 (1995): 261–67. http://dx.doi.org/10.1080/02564602.1995.11416538.

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Lucarella, D., and R. Morara. "FIRST: Fuzzy Information Retrieval SysTem." Journal of Information Science 17, no. 2 (1991): 81–91. http://dx.doi.org/10.1177/016555159101700202.

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Zelitchenko, Alexander I. "Information retrieval expert system “matchmaker”." Computers in Human Behavior 8, no. 4 (1992): 281–96. http://dx.doi.org/10.1016/0747-5632(92)90025-a.

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Escobedo, Richard, Scott D. G. Smith, and Thomas P. Caudell. "A neural information retrieval system." International Journal of Advanced Manufacturing Technology 8, no. 4 (1993): 269–73. http://dx.doi.org/10.1007/bf01748637.

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Hiromichi, F. "Knowledge based information retrieval system." Expert Systems with Applications 9, no. 3 (1995): IV—V. http://dx.doi.org/10.1016/0957-4174(95)98747-7.

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Xu, Hong. "Multimodal bird information retrieval system." Applied and Computational Engineering 53, no. 1 (2024): 96–102. http://dx.doi.org/10.54254/2755-2721/53/20241282.

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Multimodal bird information retrieval system can help people popularize bird knowledge and help bird conservation. In this paper, we use the self-built bird dataset, the ViT-B/32 model in CLIP model as the training model, python as the development language, and PyQT5 to complete the interface development. The system mainly realizes the uploading and displaying of bird pictures, the multimodal retrieval function of bird information, and the introduction of related bird information. The results of the trial run show that the system can accomplish the multimodal retrieval of bird information, retrieve the species of birds and other related information through the pictures uploaded by the user, or retrieve the most similar bird information through the text content described by the user.

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Hou, Yong. "Mathematical formula information retrieval system." Journal of Computational Methods in Sciences and Engineering 23, no. 6 (2023): 2949–73. http://dx.doi.org/10.3233/jcm-226961.

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Design and implementation of the system for retrieving information about mathematical formulas – MFIRS. The structure of the system is mainly divided into the modules: input normalization, mathematical formula unification, mathematical formula encoding, text information feature extraction, mathematical formula feature extraction, mathematical formula indexing, retrieval and ranking. A method for extracting mathematical formulas and keywords based on FastText word embedding technology is proposed. This method can be used not only to get the structural features of the formula, but also to facilitate the calculation of the similarity of the formula by the vector result. At the same time, the model introduces the semantic features of context-rich mathematical formulas to improve the domain correlation of search results. The MathRetEval dataset was created based on about 7.9 × 105 arXiv documents and about 1.5 × 108 mathematical formulas. The scalability of the system is verified using this data set. The mathematical formulas can be written in the language TEX or MathML. When queried in the TEX language, it can be converted to a tree representation of the MathML representation and then indexed. This MFIRS is an information retrieval system for mathematical formulas with the features of mathematical perception, which can use the search for the similarity of partial formulas.

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Holmes, Andrew Gary Darwin. "An Unnecessary KIS? The UK’s Key Information Set, was it Really needed and What was its Real Purpose?" Shanlax International Journal of Education 8, no. 2 (2020): 1–9. http://dx.doi.org/10.34293/education.v8i2.1477.

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This paper provides a critical analysis of the United Kingdom’s higher education Key Information Set (KIS), which was implemented following the 2011 UK White Paper ‘Students at the Heart of the System’. It argues that one of the central tenets of the KIS – providing information that students within a free market can make an informed choice and, through this process of consumer choice improve the quality of teaching, is untenable because a central component of the KIS, the National Student Survey (NSS), is unreliable when used for comparing university courses. Further, it argues that the KIS reified a neoliberal perspective about the worth and value of higher education qualification, positioning it as a commodity of value only to the paying individual rather than being something of value to society as a whole. It will be of particular interest to academics and policy makers from outside of the United Kingdom, where governmental and regulatory agencies may be implementing similar policies.

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YOKOYAMA, Kiyoshi, Hidenori MURAKAMI, and Nobuyuki FUKASAWA. "Toward intelligent information system. (4). Expert system for information retrieval." Journal of Information Processing and Management 32, no. 3 (1989): 223–34. http://dx.doi.org/10.1241/johokanri.32.223.

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Bovey, J. D. "A graphical retrieval system." Journal of Information Science 19, no. 3 (1993): 179–87. http://dx.doi.org/10.1177/016555159301900302.

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McWhirr, Alan. "GRS (General Retrieval System): a retrieval system for use in the humanities." Program 20, no. 3 (1986): 275–88. http://dx.doi.org/10.1108/eb046942.

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Niki, Kazuhisa. "Self-organized Information Retrieval System: SIR." Brain & Neural Networks 1, no. 1 (1994): 27–34. http://dx.doi.org/10.3902/jnns.1.27.

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Kim, Jae-Hoon, and Hyung-Chul Kim. "Information Retrieval System for Mobile Devices." Journal of the Korean Society of Marine Engineering 33, no. 4 (2009): 569–77. http://dx.doi.org/10.5916/jkosme.2009.33.4.569.

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ZAKI, U., M. MEMON, D. N. HAKRO, et al. "Implementation Challenges in Information Retrieval System." SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES 51, no. 02 (2019): 339–44. http://dx.doi.org/10.26692/sujo/2019.6.55.

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Angdresey, Apriandy, Miguel Angelo Lamongi, and Rinaldi Munir. "Information Retrieval System in the Bible." CogITo Smart Journal 7, no. 1 (2021): 111. http://dx.doi.org/10.31154/cogito.v7i1.300.111-120.

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Information retrieval is used to search for relevant documents so that they can be obtained quickly and precisely. There are many Christians who want to study the gospel. However, often experience problems in finding the Gospel verse and topics dealing with the need to search by the user. Therefore, have to search individually, each verse in the four Gospels to find the topic or verse that the user wants to find out. In this study, the authors used the Bible verses in the Gospels as documents, so that these verses could be searched for the level of relevance or similarity to the entered keywords. Furthermore, to determine the level of relevance between documents and keywords is calculated using the Vector Space Model. Based on the application that has been successfully built, the application can be show 10 documents related to the keywords that are searched and sorted from the most relevant, with the highest similarity value, namely 78.65%.Keywords - Information Retrieval, Vector Space Model, Bible.

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Gao, Ruoyuan. "Toward a fairer information retrieval system." ACM SIGIR Forum 55, no. 1 (2021): 1–2. http://dx.doi.org/10.1145/3476415.3476429.

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With the increasing popularity and social influence of information retrieval (IR) systems, various studies have raised concerns on the presence of bias in IR and the social responsibilities of IR systems. Techniques for addressing these issues can be classified into pre-processing , in-processing and post-processing. Pre-processing reduces bias in the data that is fed into machine learning models. In-processing encodes fairness constraints as a part of the objective function or learning process. Post-processing operates as a top layer over the trained model to reduce the presentation bias exposed to users. This dissertation explored ways to bring the pre-processing and post-processing approaches, together with the fairness-aware evaluation metrics, into a unified framework as an attempt to break the vicious cycle of bias and improve fairness in IR. We first investigated the existing bias presented in search engine results. Specifically, we focused on the top-k fairness ranking in terms of statistical parity fairness and disparate impact fairness definitions. With Google search and a general purposed text cluster as a lens, we explored several topical diversity fairness ranking strategies to understand the relationship between relevance and fairness in search results. Our experimental results showed that different fairness ranking strategies resulted in distinct utility scores and performed differently with distinct datasets. Second, to further investigate the relationship of data and fairness algorithms, we developed a statistical framework that was able to facilitate various analysis and decision making. Our framework could effectively and efficiently estimate the domain of data and solution space. We derived theoretical expressions to identify the fairness and relevance bounds for data of different distributions, and applied them to both synthetic datasets and real world datasets. We presented a series of use cases to demonstrate how our framework was applied to associate data and provide insights to fairness optimization problems. Third, we proposed an evaluation metric FAIR for the ranking results that encoded fairness, diversity, novelty and relevance. This metric offered a new perspective of evaluating fairness-aware ranking results. Based on this metric, we developed an effective ranking algorithm that jointly optimized for fairness and utility. Our experiments showed that our new metric was able to highlight results that achieved good user utility and fair information exposure at the same time. We showed how FAIR metric related to existing metrics through correlation analysis and case studies, and demonstrated the effectiveness of our FAIR-based algorithm.

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Lata, Suman, and Ajmer Kundu. "Wheat Production Information Retrieval System (WPIRS)." International Journal of Computer Applications 58, no. 2 (2012): 16–19. http://dx.doi.org/10.5120/9253-3422.

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Kulkarni, D. R., and R. R. Bharucha. "READFAST — an online information retrieval system." Program 20, no. 3 (1986): 314–19. http://dx.doi.org/10.1108/eb046945.

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Ertwine, Robyn, and Beatrice Jakubowski. "CHID: An Automated Information Retrieval System." Diabetes Educator 12, no. 1 (1986): 55–60. http://dx.doi.org/10.1177/014572178601200114.

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The Combined Health Information Database (CHID) is an automated information system designed for health care educators and other health professionals. It contains 20,000 references to jour nal articles, fact sheets, brochures, audiovisual materials, health program descriptions, and other health-related information. Topics include diabetes, arthritis, digestive diseas es, high blood pressure, and health promotion and health education. Access to this information is available nationwide through a subscription service. The information included in CHID can be searched and retrieved quickly by computer, and the results can be orga nized and prepared according to the specific needs of the user.

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Shu-dong, Shi, and Li Zhi-tang. "A high-speed information retrieval system." Wuhan University Journal of Natural Sciences 9, no. 4 (2004): 425–28. http://dx.doi.org/10.1007/bf02830436.

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Aparna, T., Shivani D, Pratiksha B, Nuzzath Tahreen, and Anusha T. "Publications Information Retrieval and Management System." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (2023): 810–15. http://dx.doi.org/10.22214/ijraset.2023.54661.

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Abstract: In a world where technology is advancing rapidly, it is a difficult task to manually maintain research profiles in any educational institution. Faculty have to go through an exhaustive ordeal to keep up to pace with the ever-changing demands of the publication committees. Hence, there is a significant need for an interface allowing researchers to easily sort, maintain and download their list of publications with minimum work from the user end. This paper attempts to set up an interface that would use web scraping with selenium and python modules to link a researcher’s list of publications present on Google Scholar to a PostgreSQL database and Excel application, allowing them to access and manipulate their research profiles in minimal steps

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Bedi, P., and S. Chawla. "Agent Based Information Retrieval System Using Information Scent." Journal of Artificial Intelligence 3, no. 4 (2010): 220–38. http://dx.doi.org/10.3923/jai.2010.220.238.

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Shen, Jin Xing. "Ontology-Based Semantic Retrieval for Management Information System." Applied Mechanics and Materials 278-280 (January 2013): 2069–72. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2069.

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In order to achieve semantic retrieval for scientific research information in WWW, this paper applies an ontology-based framework to information retrieval system for management information system. After analyze the limitations of traditional method, bring a semantic search forward, and mainly introduce the thought of the semantic retrieval as well as the way to constitute ontology entity and the language that describes it. Moreover, semantic retrieval system based on ontology is also given. The application to retrieve project information shows that the framework can overcome the localization of other ontology’s models, and this research facilitates the semantic retrieval of management information through semantic retrieval concepts on the Semantic Web.

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Li, Li, Wei Jiang Li, and Yuan Yuan Fan. "Topic-Oriented Information Retrieval." Advanced Materials Research 989-994 (July 2014): 4845–50. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4845.

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With the rapid development of Internet, more and more information has been displayed to people. More and more researcher pay more attention to how to find useful information from this huge information ocean. We design the topic-oriented information retrieval system in order to overcome the drawback of generic crawler. The system retrieves topic information efficiently and helps user get useful information rapidly and exactly.

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Zhang, Shu Dong, and Yan Chen. "Research on Domain Ontology-Based Intelligent Information Retrieval System." Key Engineering Materials 460-461 (January 2011): 300–304. http://dx.doi.org/10.4028/www.scientific.net/kem.460-461.300.

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Domain ontology introduces a new theory and method for information retrieval. In this paper, we analyze the deficiencies of traditional information retrieval and explore the relationship between domain ontology and information retrieval, as well as the basic design ideas of information retrieval based on domain ontology. Finally we present a domain ontology-based intelligent information retrieval system, so that the information retrieval can be promoted from the keyword level to the semantic level. With the rapid development of the national economy and the growth of information resources, traditional methods relying on the browser, database fields, keyword matching, or even manual retrieval query has become increasingly difficult to meet people's information retrieval needs. How to quickly and accurately identify the needed information resources has become a urgent question in front of us. Information retrieval is a technology which can find out the relevant information the user needs from a collection of large amounts of information. It has experienced manual retrieval, computer retrieval stage, now it has developed to the network and intelligent stage. The objects of information retrieval extend from a relative closed, stable and consistent, centrally managed information content by an independent database to an open, dynamic, quickly update, widely distributed, and loosely managed web content; the users of information retrieval also spread from professional intelligence agent to the common including government officials, businessmen, managers, teachers, students, professionals, etc. They ask for the higher and more diverse requirements from the results to the manner of information retrieval. Adapting to the need for network, intelligence and personalization is a new trend of information retrieval technology.

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Lokhande, Kalyani, and Dhanashree Tayade. "English-Marathi Cross Language Information Retrieval System." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 8 (2017): 112. http://dx.doi.org/10.23956/ijarcsse.v7i8.34.

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Nowadays, diﬀerent types of content in diﬀerent languages are available on World Wide Web and their usage is increasing rapidly. Cross Language Information Retrieval (CLIR) deals with retrieval of documents in another language than the language of the requested query. Various researchers worked on Cross Language Information Retrieval systems for Indian languages using diﬀerent translation approaches. There is still CLIR system to be developed which allow user to retrieve Marathi documents when English query is given. In the proposed English to Marathi Cross Language Information Retrieval system, translation is based on query translation approach. The proposed system retrieves Marathi documents depending on matching terms in query. The performance of the proposed system is improved by query pre-processing and query expansion using WordNet.

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Yu, Xiao Qing, Wen Gen Wang, Jian Hua Shi, and Yun Hui Wang. "An Information Retrieval System Based on Portable Device." Advanced Materials Research 712-715 (June 2013): 2706–11. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2706.

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Information retrieval is the activity to organize information in a certain way, and according to the users demand to find out the related information from a collection of resources. Retrieval process and technology can be based on metadata or full-text indexing. Most of the relevant information retrieval systems are devised on the computer. However, with the highly development of the embedded technology, some popular application have been developed on the platform. In this paper, we will introduce an information retrieval system on the iOS platform which is more convenient, practical, and effective compared with the traditional system. And we will introduce an application based on this system design. The experiments shown that this system was exactly effective utilized to retrieval audio information.

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Sen, Procheta. "Proactive information retrieval." ACM SIGIR Forum 55, no. 2 (2021): 1–2. http://dx.doi.org/10.1145/3527546.3527576.

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Users interact with digital systems with some underlying tasks in their minds. In our research scope, a task can be either single or multi-staged. A single-staged task is associated with a single information need, whereas a multi-staged one is associated with more than one information needs. An example of a single-staged task is suggesting related papers to an author while they are writing a section of the research papers. An example of a multi-staged task is planning for a vacation, where the different underlying information needs could be 'places to visit', 'booking accommodation' etc. In the process of accomplishing their task objectives, a user often needs to interact with an information retrieval (IR) system to address one or more information needs. For instance, for writing a research paper on a chosen topic, a user needs to look for existing research work related to the topic. Traditional IR systems do not take into account a user's task intent while showing search results to the user. In our work, we propose a methodology towards developing next generation IR systems (i.e. proactive IR systems) which seek to anticipate the task intent of a user from their interactions with digital systems in order to proactively suggest potentially relevant information sources to assist them to complete their tasks. Specifically speaking, in this PhD, we proposed an embedding approach that captures the task semantics from the interactions of a user with a digital system (e.g. laptop, desktop, smartphone etc.). The proposed embedding approach is then applied for the downstream tasks of providing proactive suggestions in both single and multi staged scenarios. For the single-staged task, we propose a simulation setup to simulate a user's reading and writing interactions in a desktop environment. For the multi-staged task, we focus on web search sessions where a user can have multiple information needs corresponding to a search task. We also proposed a reproducible evaluation framework to compare between different proactive suggestion models. Awarded by : Dublin City University, Ireland on 10 August 2021. Supervised by : Gareth Jones. Available at : https://procheta.github.io/sprocheta/Thesis.pdf.

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Putri, Salsa Amalia, Yunus Winoto, and Rohanda Rohanda. "Pemetaan penelitian information retrieval system menggunakan VOSviewer." Informatio: Journal of Library and Information Science 3, no. 2 (2023): 93. http://dx.doi.org/10.24198/inf.v3i2.46646.

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Information retrieval systems help filter information, so that the process of finding suitable information becomes fast and precise, but there are ways to find more effectively and efficiently with Information retrieval systems using bibliometric methods with the VOSviewer application. The research objectives are to map the trends of research results on the topic of information retrieval system in the library, to map the research results on the topic of information retrieval system in the library based on co-authorship, and to map the research results on the topic of information retrieval system in the library based on co-occurrence. The research method uses descriptive bibliometric analysis by using the Scopus scientific journal database. The results of research on the topic of information retrieval systems in libraries are fluctuating where the most research results occurred in 2008 with publications totaling 13 articles and the lowest publications were seen in 2010 and 2014 with only 1 article produced. The level of author productivity is at 13 authors who produce a total of 2 articles. Co-authorship analysis is useful to see the mapping of research topics through relationships or collaborations between authors. The number of authors analyzed is 278, of which there are only 13 authors who show relationships between other authors. Co-occurrence analysis is useful for displaying bibliometric networks between keywords in a visual form. There are 326 keywords taken and 18 keywords have an occurrence relationship. Based on the bibliometric analysis conducted, it can be seen the distribution of research topics related to information retrieval systems in libraries, including research keywords that are still rarely researched, such as metadata and user studies. This can be used as an opportunity for further research topics.

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Jena, Gouranga Charan, and Siddharth Swarup Rautaray. "A comprehensive survey on cross-language information retrieval system." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (2019): 127. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp127-134.

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Cross language information retrieval (CLIR) is a retrieval process in which the user fires queries in one language to retrieve information from another (different) language. The diversity of information and language barriers are the serious issues for communication and cultural exchange across the world. To solve such barriers, Cross language information retrieval system, are nowadays in strong demand. CLIR is a subset of Information Retrieval (IR) system. Information Retrieval deals with finding useful information from a large collection of unstructured, structured and semi-structured data to a user query where the query is a set of keywords. Information Retrieval can be classified into different classes such as Monolingual information retrieval, Bi-Lingual Information Retrieval, Multilingual information retrieval and Cross language information retrieval. This paper focuses on the various IR variants and techniques used in CLIR system. Further, based on available literature, a number of challenges and issues in CLIR have been identified and discussed. It gives an overview of the advantages, limitations, tools available in CLIR research. It also describes new application areas of CLIR such as medical, multimedia, question answering system etc. The need for exploring and building more specialized information system that enable speakers of an Odia language to discover valuable information beyond linguistic and cultural barriers. This study is aimed at building an experimental CLIR system between one of the under-resourced language (i.e. Odia) and one of the most commonly used online language (i.e. English) in future.

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Kovalcik, Justin, and Mike Villalobos. "Automated Storage & Retrieval System." Information Technology and Libraries 38, no. 4 (2019): 114–24. http://dx.doi.org/10.6017/ital.v38i4.11273.

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The California State University, Northridge (CSUN) Oviatt Library was the first library in the world to integrate an automated storage and retrieval system (AS/RS) into its operations. The AS/RS continues to provide efficient space management for the library. However, added value has been identified in materials security and inventory as well as customer service. The concept of library as space, paired with improved services and efficiencies, has resulted in the AS/RS becoming a critical component of library operations and future strategy. Staffing, service, and security opportunities paired with support and maintenance challenges, enable the library to provide a unique critique and assessment of an AS/RS.

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Jones, Kevin P., and Colin L. M. Bell. "MORPHS—an intelligent retrieval system." Aslib Proceedings 38, no. 3 (1986): 71–79. http://dx.doi.org/10.1108/eb051000.

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Beitzel, Steven M., Eric C. Jensen, Abdur Chowdhury, David Grossman, Ophir Frieder, and Nazli Goharian. "Fusion of effective retrieval strategies in the same information retrieval system." Journal of the American Society for Information Science and Technology 55, no. 10 (2004): 859–68. http://dx.doi.org/10.1002/asi.20012.

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Wu, Feng, Yanting Ji, and Wenping Shi. "Design of a Computer-Based Legal Information Retrieval System." Computational Intelligence and Neuroscience 2022 (May 12, 2022): 1–10. http://dx.doi.org/10.1155/2022/6942773.

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In today’s society, people’s lives are increasingly inseparable from computer information. Due to the continuous improvement of technology and the rapid development of internet technology, the network environment is becoming more and more complex, which makes it easy to cause loopholes in the information retrieval system when people use the network. Therefore, it is especially important to search for legal knowledge by computer. In order to adapt to this change and demand, we need a retrieval system to provide the corresponding search function, legal information content, and management and other services, so as to achieve the purpose of computer legal information retrieval. The legal information retrieval system is computer based, draws conclusions from the analysis of relevant data, and then applies them to judicial trial cases, criminal investigations, and other fields to provide a reference for relevant legal issues. The system is designed to combine computer technology with a criminal investigation and other fields, and then analyze the data to draw the corresponding conclusions. The retrieval algorithms used are mainly image and content retrieval algorithms, and image retrieval algorithms mainly use image segmentation technology, while content retrieval algorithms mainly use the cuckoo algorithm. At present, the information construction and economic and social development in China have become one of the issues of common concern and need to be solved by all countries in the world. The study of the legal information retrieval system is of great importance in the construction of information technology and the development of economic society.

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