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1

Zhang, Haiyu, Yinghui Zhao, Boyu Sun, Yaqi Wu, Zetian Fu, and Xinqing Xiao. "Large Language Model Based Intelligent Fault Information Retrieval System for New Energy Vehicles." Applied Sciences 15, no. 7 (2025): 4034. https://doi.org/10.3390/app15074034.

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In recent years, the rapid development of the new energy vehicle (NEV) industry has exposed significant deficiencies in intelligent fault diagnosis and information retrieval technologies, especially in intelligent fault information retrieval, which faces persistent challenges including inadequate system adaptability and reasoning bottlenecks. To address these challenges, this study proposes a Retrieval-Augmented Generation (RAG) framework that integrates large language models (LLMs) with knowledge graphs (KGs). The framework consists of three key components: fault data collection, knowledge gr
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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
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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 usi
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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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Faisal, Ahmad, Sri Yanthy Yosepha, Sri Widodo, and Lucky Bayu Purnomo. "Analisis Penerapan Sistem Informasi Akuntasi Penerimaan dan Pengeluaran Kas terhadap Pengendalian Internal Kas pada PT. XYZ." Journal of Accounting and Finance Management 5, no. 6 (2025): 1645–50. https://doi.org/10.38035/jafm.v5i6.1435.

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This study explores the impact of information technology utilization, the implementation of accounting information systems, and the application of internal control systems on the integrity of financial reports produced by companies. The integrity of financial reporting can be enhanced through the effective implementation of accounting information systems and internal controls. A well-designed accounting information system facilitates the production of high-quality financial statements that adhere to regulatory standards. Such a system must address key issues, including data security, timely in
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Sudirman, Sudirman, Lusi Awaliyah, Ika Irmawati, Salmah Harun, and M. Abduh Idris. "Efektivitas Sistem Akuntasi Penerimaan Kas pada Bank Muamalat KCP Bone." AKSIOMA : Jurnal Sains Ekonomi dan Edukasi 2, no. 1 (2025): 43–51. https://doi.org/10.62335/rf6vz027.

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In the constantly evolving digital age, the information assurance system has to deal with a lot of new challenges and opportunities. Due to the importance of data accuracy and timeliness, businesses must invest in reliable technologies and instruct their staff in maximize the use of open-source information systems. The purpose of this qualitative research study is to assess the information system's uptime for the Bank Muamalat KCP Bone. To achieve this goal, the researcher used documentation, observation, and interview to gather data. The study's findings indicate that the Bank Muamalat KCP Bo
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Liang, Xujian, and Zhaoquan Gu. "Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 23 (2025): 24558–66. https://doi.org/10.1609/aaai.v39i23.34635.

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Graph Retrieval Augmented Generation (GRAG) is a novel paradigm that takes the naive RAG system a step further by integrating graph information, such as knowledge graph (KGs), into large-scale language models (LLMs) to mitigate hallucination. However, existing GRAG still encounter limitations: 1) simple paradigms usually fail with the complex problems due to the narrow and shallow correlations capture from KGs 2) methods of strong coupling with KGs tend to be high computation cost and time consuming if the graph is dense. In this paper, we propose the Fast Think-on-Graph (FastToG), an innovati
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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
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Saiyam Arora. "Transforming AI Decision Support System with Knowledge Graphs & CAG." International Journal on Engineering Artificial Intelligence Management, Decision Support, and Policies 2, no. 2 (2025): 15–23. https://doi.org/10.63503/j.ijaimd.2025.110.

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Artificial Intelligence (AI) serves as a fundamental component of decision support systems (DSS), enabling organizations to process large-scale data and derive actionable insights. However, traditional AI models utilizing relational databases (RDBMS) exhibit limitations in retaining context and applying knowledge-driven reasoning. This study examines the integration of Knowledge Graphs (KGs) and Context-Aware Graphs (CAGs) to enhance AI-driven decision-making systems. A hybrid framework is proposed in which structured knowledge graphs improve the contextual understanding of large language mode
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10

Akshaya A M, Prem Kumar S, Sam leo A, and Dr.T. Kavitha. "Improving LLM Accuracy and Minimizing Hallucinations with Query Refinement and Knowledge Graphs." International Research Journal on Advanced Engineering and Management (IRJAEM) 3, no. 04 (2025): 1155–63. https://doi.org/10.47392/irjaem.2025.0189.

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Recent developments in natural language processing (NLP) using large language models (LLMs) have transformed information retrieval systems. Problems still exist, however, in high stakes use cases where high accuracy is an essential requirement. A key issue is the hallucination problem, where models generate information unsupported by the underlying data, potentially leading to dangerous misinformation. This paper introduces a new approach addressing this gap by combining large language models (LLMs) with Query Refinement Technique and knowledge graphs (KGs) to improve question-answering system
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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 ar
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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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13

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
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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 off
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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
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16

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 environmen
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17

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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18

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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19

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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20

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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21

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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22

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 the
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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, ret
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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 facili
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Md., Kowsher, Hossen Imran, and Ahmed SkShohorab. "BENGALI INFORMATION RETRIEVAL SYSTEM (BIRS)." International Journal on Natural Language Computing (IJNLC) 8, no. 5 (2023): 12. https://doi.org/10.5281/zenodo.7669370.

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Information Retrieval System is an effective process that helps a user to trace relevant information by Natural Language Processing (NLP). In this research paper, we have presented present an algorithmic Information Retrieval System(BIRS) based on information and the system is significant mathematically and statistically. This paper is demonstrated by two algorithms for finding out the lemmatization of Bengali words such as Trie and Dictionary Based Search by Removing Affix (DBSRA) as well as compared with Edit Distance for the exact lemmatization. We have presented the Bengali Anaphora resolu
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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 re
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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, trad
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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 o
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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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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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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 keywor
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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 expo
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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 comput
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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 publica
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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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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 syste
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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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Abstract:
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
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