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Littérature scientifique sur le sujet « Item of information »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Item of information"

Wang, Shoujin, Wanggen Wan, Tong Qu, and Yanqiu Dong. "Auxiliary Information-Enhanced Recommendations." Applied Sciences 11, no. 19 (2021): 8830. http://dx.doi.org/10.3390/app11198830.

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Sequential recommendations have attracted increasing attention from both academia and industry in recent years. They predict a given user’s next choice of items by mainly modeling the sequential relations over a sequence of the user’s interactions with the items. However, most of the existing sequential recommendation algorithms mainly focus on the sequential dependencies between item IDs within sequences, while ignoring the rich and complex relations embedded in the auxiliary information, such as items’ image information and textual information. Such complex relations can help us better under

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Burns, Daniel J., Carin L. Jenkins, and Erica E. Dean. "Falsely recalled items are rich in item-specific information." Memory & Cognition 35, no. 7 (2007): 1630–40. http://dx.doi.org/10.3758/bf03193497.

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Akkermans, Wies, and Eiji Muraki. "Item information and discrimination functions for trinary pcm items." Psychometrika 62, no. 4 (1997): 569–78. http://dx.doi.org/10.1007/bf02294643.

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Haladyna, Thomas M., and Michael C. Rodriguez. "Using Full-information Item Analysis to Improve Item Quality." Educational Assessment 26, no. 3 (2021): 198–211. http://dx.doi.org/10.1080/10627197.2021.1946390.

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Wyse, Adam E., and Raymond Mapuranga. "Differential Item Functioning Analysis Using Rasch Item Information Functions." International Journal of Testing 9, no. 4 (2009): 333–57. http://dx.doi.org/10.1080/15305050903352040.

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Wang, Xi, and Yang Liu. "Detecting Compromised Items Using Information From Secure Items." Journal of Educational and Behavioral Statistics 45, no. 6 (2020): 667–89. http://dx.doi.org/10.3102/1076998620912549.

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In continuous testing programs, some items are repeatedly used across test administrations, and statistical methods are often used to evaluate whether items become compromised due to examinees’ preknowledge. In this study, we proposed a residual method to detect compromised items when a test can be partitioned into two subsets of items: secure items and possibly compromised items. We derived the standard error of the residual statistic by taking the sampling error in both ability and item parameter estimate into account. The simulation results suggest that the Type I error is close to the nomi

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Bock, R. Darrell, Robert Gibbons, and Eiji Muraki. "Full-Information Item Factor Analysis." Applied Psychological Measurement 12, no. 3 (1988): 261–80. http://dx.doi.org/10.1177/014662168801200305.

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Guo, Jingfeng, Chao Zheng, Shanshan Li, Yutong Jia, and Bin Liu. "BiInfGCN: Bilateral Information Augmentation of Graph Convolutional Networks for Recommendation." Mathematics 10, no. 17 (2022): 3042. http://dx.doi.org/10.3390/math10173042.

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The current graph-neural-network-based recommendation algorithm fully considers the interaction between users and items. It achieves better recommendation results, but due to a large amount of data, the interaction between users and items still suffers from the problem of data sparsity. To address this problem, we propose a method to alleviate the data sparsity problem by retaining user–item interactions while fully exploiting the association relationships between items and using side-information enhancement. We constructed a “twin-tower” model by combining a user–item training model and an it

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Verbic, Srdjan. "Information value of multiple response questions." Psihologija 45, no. 4 (2012): 467–85. http://dx.doi.org/10.2298/psi1204467v.

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Answers to Multiple Response (MR) questions carry more information than we usually utilize. Simple idea that all options of MR questions should be scored as independent test items has two major difficulties: 1) false options have item-response characteristics that are hard to model and use with other items; and 2) responses to individual options within the same MR question could be too dependent on each other. These difficulties lead to an overestimation of item discrimination and test information function. A few scoring methods that could increase information value obtained from MR questions

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Agrawal, Rakesh, Michalis Potamias, and Evimaria Terzi. "Learning the Nature of Information in Social Networks." Proceedings of the International AAAI Conference on Web and Social Media 6, no. 1 (2021): 2–9. http://dx.doi.org/10.1609/icwsm.v6i1.14257.

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We postulate that the nature of information items plays a vital role in the observed spread of these items in a social network. We capture this intuition by proposing a model that assigns to every information item two parameters: endogeneity and exogeneity. The endogeneity of the item quantifies its tendency to spread primarily through the connections between nodes; the exogeneity quantifies its tendency to be acquired by the nodes, independently of the underlying network. We also extend this item-based model to take into account the openness of each node to new information. We quantify openne

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Thèses sur le sujet "Item of information"

Gaschler, Robert. "Information Reduction as item-general strategy change." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2009. http://dx.doi.org/10.18452/16300.

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Übung beeinflusst nicht nur wie sondern auch welche Information verarbeitet wird. Die bisherige Forschung zur Informationsreduktion (Haider & Frensch, 1996) hat die Wichtigkeit des letzteren Aspektes für den kognitiven Fertigkeitserwerb herausgearbeitet. Informationsreduktion tritt in Situationen auf, in denen Aufgaben sowohl relevante als auch irrelevante Information enthalten. Informationsreduktion stellt einen Strategiewechsel dar, bei dem ein Übergang von einer Strategie, die das Prozessieren aller Elemente einer Aufgabe beinhaltet, hin zu einer Strategie, bei der nur die relevanten Elemen

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Jonas, Katherine Grace. "Potential test information for multidimensional tests." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5787.

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Test selection in psychological assessment is guided, both explicitly and implicitly, by how informative tests are with regard to a trait of interest. Most existing formulations of test information are sensitive to subpopulation variation, with the result that test information will vary from sample to sample. Recently, measures of test information have been developed that quantify the potential informativeness of the test. These indices are defined by the properties of the test, as distinct from the properties of the sample or examinee. As of yet, however, measures of potential information hav

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Kotze, Barend Frederik. "Organizational knowledge : discrete manageable item or complex dynamic flow?" Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/1887.

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Thesis (MPhil (Information Science))--University of Stellenbosch, 2009.<br>We are in the final stages of a transition from the industrial era to the information era. Some may argue that we are already there. The impact of this transition is felt in all spheres of everyday life, it is present in shifting paradigms and it fuels constant waves of change. In attempting to master this changing world of the last few decades, academics and practitioners focused their attention on the management of knowledge in organisations. The concept of knowledge has been an elusive one for two thousand year

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Weeks, Clinton. "Investigation of the differential forgetting rates of item and associative information /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16837.pdf.

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Melin, Amandus, and Jonas Nicander. "Item-level tagging och RFID : Förutsättningar för en ökad användning inom detaljhandel." Thesis, Uppsala universitet, Institutionen för informatik och media, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-226651.

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RFID har sedan 80-talet vuxit fram inom industri- och transport-branschen som ett sätt att under-lätta spårning av tillgångar och övervakning av informationsflöden genom logistikkedjan. Tek-nologin har idag många olika applikationsområden och används inom en mängd olika verksam-heter. Item-level Tagging (ILT) är ett sätt att utnyttja tekniken genom att märka enskilda varor för att på så sätt ge dem unika identiteter, vilket erbjuder enorm potential inom detaljhandel. Givet potentialen med tekniken vill vi med vår studie undersöka vilka förutsättningar som kommer att krävas för en ökad användni

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Mair, Patrick, and Horst Treiblmaier. "Partial Credit Models for Scale Construction in Hedonic Information Systems." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2008. http://epub.wu.ac.at/1614/1/document.pdf.

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Information Systems (IS) research frequently uses survey data to measure the interplay between technological systems and human beings. Researchers have developed sophisticated procedures to build and validate multi-item scales that measure real world phenomena (latent constructs). Most studies use the so-called classical test theory (CTT), which suffers from several shortcomings. We first compare CTT to Item Response Theory (IRT) and subsequently apply a Rasch model approach to measure hedonic aspects of websites. The results not only show which attributes are best suited for scaling hedonic i

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Lee, Philseok. "Investigating Parameter Recovery and Item Information for Triplet Multidimensional Forced Choice Measure: An Application of the GGUM-RANK Model." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6298.

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To control various response biases and rater errors in noncognitive assessment, multidimensional forced choice (MFC) measures have been proposed as an alternative to single-statement Likert-type scales. Historically, MFC measures have been criticized because conventional scoring methods can lead to ipsativity problems that render scores unsuitable for inter-individual comparisons. However, with the recent advent of classical test theory and item response theory scoring methods that yield normative information, MFC measures are surging in popularity and becoming important components of personne

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Oved, Aaron. "The use of information technology in educational management (ITEM) and different effects on Israeli secondary schools." Thesis, University of Leicester, 2005. http://hdl.handle.net/2381/7823.

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Information Technology (IT) created a revolution in data collection and analysis at first in business and industry and later in schools throughout the world and in Israel. This work analyzes the implications of using IT in 11 Israeli schools and the external authorities that supervise them. The data was collected using: 1. A questionnaire distributed to a population of principals, subject coordinators, teachers and external authority staff (N=252); 2. A case study on semi-structured interviews in four schools and local councils (18 interviews). Supervision, the electronic dialogue, independenc

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Mulongo, Benedith. "Analyzing music genre classification using item response theory : A case study of the GTZAN data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-282828.

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Machine learning models are usually evaluated by metrics such as accuracy, confusion matrix, recall. Those metrics are used in evaluation methods for assessing the models. However, those metrics used for assessing the models give no information regarding the ability of the models or the difficulty of the test data used to evaluate the given models. Without a reliable measure of the difficulty of test data it is harder to obtain an accurate evaluation of the performance of the models. Some of the limitations previously mentioned regarding the widely used metrics in current evaluation methods in

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Gaschler, Robert [Verfasser], Hilde Akademischer Betreuer] Haider, Gesine [Akademischer Betreuer] [Dreisbach, and Peter [Akademischer Betreuer] Frensch. "Information Reduction as item-general strategy change / Robert Gaschler. Gutachter: Hilde Haider ; Gesine Dreisbach ; Peter A. Frensch." Berlin : Humboldt Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2009. http://d-nb.info/1015046320/34.

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Livres sur le sujet "Item of information"

Schnipke, Deborah L. Representing response-time information in item banks. Law School Admission Council, 1999.

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1940-, Stout William F., and Law School Admission Council, eds. On the use of collateral item response information to improve pretest item calibration. Law School Admission Council, 2003.

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Leclercq, Dieudonnè A. Item Banking: Interactive Testing and Self-Assessment. Springer Berlin Heidelberg, 1993.

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Pearson, P. David. Improving the information value of performance items in large scale assessments. American Institutes for Research in the Behavioral Sciences, 1997.

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Book Industry Study Group. Serials Industry Systems Advisory Committee. Publishers' Technical Advisory Subcommittee. and Book Industry Study Group. Serials Industry Systems Advisory Committee., eds. Serial item identification: Bar code symbol implementation guidelines : recommendations to the publishing industry on implementation of the American national standard for serial item and contribution identifier (SICI). 2nd ed. Book Industry Study Group, 1992.

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Fung, Alex C. W. Information Technology in Educational Management for the Schools of the Future: IFIP TC3/ WG 3.4 International Conference on Information Technology in Educational Management (ITEM), 22-26 July 1996, Hong Kong. Springer US, 1997.

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Tang, K. Linda. A study of the use of collateral statistical information in attempting to reduce TOEFL IRT item parameter estimation sample sizes. Educational Testing Service, 2001.

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Coach, Kereteletswe Omponye, Visscher Adrie J. 1956-, and SpringerLink (Online service), eds. Information Technology and Managing Quality Education: 9th IFIP WG 3.7 Conference on Information Technology in Educational Management, ITEM 2010, Kasane, Botswana, July 26-30, 2010, Revised Selected Papers. IFIP International Federation for Information Processing, 2011.

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Arthur, Tatnall, Okamoto Toshio 1947-, and Visscher Adrie J. 1956-, eds. Knowledge management for educational innovation: IFIP WG 3.7 7th Conference on Information Technology in Educational Management (ITEM), Hamamatsu, Japan, July 23-26, 2006. Springer, 2007.

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United States. National Aeronautics and Space Administration. Office of Safety, Reliability, Maintainability, and Quality Assurance., ed. Management Plan Documentation Standard and Data Item Descriptions (DID) Volume of the Information System Life-Cycle and Documentation Standards: Release 4.3. NASA, Office of Safety, Reliability, Maintainability, and Quality Assurance, Software Management and Assurance Program (SNAP), 1990.

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Chapitres de livres sur le sujet "Item of information"

Hambleton, Ronald K., and Hariharan Swaminathan. "The Information Function and its Applications." In Item Response Theory. Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-017-1988-9_6.

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Cohen, Allan S., and Sun-Joo Cho. "Information Criteria." In Handbook of Item Response Theory. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/b19166-18.

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Bhandari, Upasna, Kazunari Sugiyama, Anindya Datta, and Rajni Jindal. "Serendipitous Recommendation for Mobile Apps Using Item-Item Similarity Graph." In Information Retrieval Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45068-6_38.

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Zhou, Yifei, and Conor Hayes. "Graph-Based Diffusion Method for Top-N Recommendation." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_23.

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AbstractData that may be used for personalised recommendation purposes can intuitively be modelled as a graph. Users can be linked to item data; item data may be linked to item data. With such a model, the task of recommending new items to users or making new connections between items can be undertaken by algorithms designed to establish the relatedness between vertices in a graph. One such class of algorithm is based on the random walk, whereby a sequence of connected vertices are visited based on an underlying probability distribution and a determination of vertex relatedness established. A

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Tatnall, A., and B. Davey. "Open ITEM Systems are Good ITEM Systems." In Pathways to Institutional Improvement with Information Technology in Educational Management. Springer US, 2002. http://dx.doi.org/10.1007/978-0-306-47006-6_6.

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Fung, Alex C. W. "Managing change in “ITEM”." In Information Technology in Educational Management. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34839-1_5.

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O’Mahony, Christopher. "Reaping ITEM Benefits." In Information Technology and Educational Management in the Knowledge Society. Springer US, 2005. http://dx.doi.org/10.1007/0-387-24045-4_3.

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Chang, Hua-Hua, Chun Wang, and Zhiliang Ying. "Information Theory and Its Application to Testing." In Handbook of Item Response Theory. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/b19166-7.

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Selwood, Ian, Christopher O’Mahony, Rakesh Bhatt, et al. "Core Competences for Item." In Management of Education in the Information Age. Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35689-1_18.

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Zhou, Wei, and Selwyn Piramuthu. "Remanufacturing with RFID Item-Level Information." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17449-0_9.

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Actes de conférences sur le sujet "Item of information"

Zhang, Haiyang, Rong Gao, Donghua Liu, and Xiang Wan. "Enhanced Contrastive Hypergraph Information Bottleneck Learning for Item Recommendation." In 2024 11th International Forum on Electrical Engineering and Automation (IFEEA). IEEE, 2024. https://doi.org/10.1109/ifeea64237.2024.10878563.

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Zhao, Feipeng, and Yuhong Guo. "Learning Discriminative Recommendation Systems with Side Information." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/485.

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Top-N recommendation systems are useful in many real world applications such as E-commerce platforms. Most previous methods produce top-N recommendations based on the observed user purchase or recommendation activities. Recently, it has been noticed that side information that describes the items can be produced from auxiliary sources and help to improve the performance of top-N recommendation systems; e.g., side information of the items can be collected from the item reviews. In this paper, we propose a joint discriminative prediction model that exploits both the partially observed user-item r

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Gao, Li, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, and Yue Hu. "Recommendation with Multi-Source Heterogeneous Information." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/469.

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Network embedding has been recently used in social network recommendations by embedding low-dimensional representations of network items for recommendation. However, existing item recommendation models in social networks suffer from two limitations. First, these models partially use item information and mostly ignore important contextual information in social networks such as textual content and social tag information. Second, network embedding and item recommendations are learned in two independent steps without any interaction. To this end, we in this paper consider item recommendations base

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Miller, Craig S. "Item sampling for information architecture." In the 2011 annual conference. ACM Press, 2011. http://dx.doi.org/10.1145/1978942.1979264.

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Kitazawa, Takuya. "Sketching Dynamic User-Item Interactions for Online Item Recommendation." In CHIIR '17: Conference on Human Information Interaction and Retrieval. ACM, 2017. http://dx.doi.org/10.1145/3020165.3022152.

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Sodsee, Sunantha, and Maytiyanin Komkhao. "Item recommending by item co-purchasing network and user preference." In 2017 Twelfth International Conference on Digital Information Management (ICDIM). IEEE, 2017. http://dx.doi.org/10.1109/icdim.2017.8244640.

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"BOOSTING ITEM FINDABILITY: BRIDGING THE SEMANTIC GAP BETWEEN SEARCH PHRASES AND ITEM INFORMATION." In 7th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0002525800480055.

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Pujahari, Abinash, and Vineet Padmanabhan. "Group Recommender Systems: Combining User-User and Item-Item Collaborative Filtering Techniques." In 2015 International Conference on Information Technology (ICIT). IEEE, 2015. http://dx.doi.org/10.1109/icit.2015.36.

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Gong, SongJie, HongWu Ye, and XiaoYan Shi. "A Collaborative Recommender Combining Item Rating Similarity and Item Attribute Similarity." In 2008 International Seminar on Business and Information Management (ISBIM). IEEE, 2008. http://dx.doi.org/10.1109/isbim.2008.190.

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Hayashi, Katsuhiko. "Rethinking Correlation-based Item-Item Similarities for Recommender Systems." In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2022. http://dx.doi.org/10.1145/3477495.3532055.

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Rapports d'organisations sur le sujet "Item of information"

Gibbons, Robert D., Donald R. Hedeker, and R. D. Bock. Full-Information Item Bi-Factor Analysis. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada229346.

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Mislevy, Robert J. Exploiting Collateral Information in the Estimation of Item Parameters. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada200867.

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Mislevy, Robert J., and Kathleen M. Sheehan. The Role of Collateral Information about Examinees in Item Parameter Estimation. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada200109.

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Edwards, Susan L., Marcus E. Berzofsky, and Paul P. Biemer. Addressing Nonresponse for Categorical Data Items Using Full Information Maximum Likelihood with Latent GOLD 5.0. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.mr.0038.1809.

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Full information maximum likelihood (FIML) is an important approach to compensating for nonresponse in data analysis. Unfortunately, only a few software packages implement FIML and even fewer have the capability to compensate for missing not at random (MNAR) nonresponse. One of these packages is Statistical Innovations’ Latent GOLD; however, the user documentation for Latent GOLD provides no mention of this capability. The purpose of this paper is to provide guidance for fitting MNAR FIML models for categorical data items using the Latent GOLD 5.0 software. By way of comparison, we also provid

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Clark, A., and Q. Wu. Measurement Identity and Information Reporting Using a Source Description (SDES) Item and an RTCP Extended Report (XR) Block. RFC Editor, 2012. http://dx.doi.org/10.17487/rfc6776.

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Saavedra, Lissette M., Antonio A. Morgan-López, Kiersten L. Johnson, et al. The development of the DASS-6 for in-person and telehealth settings: A community-driven empirical approach. RTI Press, 2025. https://doi.org/10.3768/rtipress.2025.mr.0055.2504.

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Brief, reliable instruments are critical for mental health care providers to efficiently capture psychometrically sound and clinically useful information during in-person and telehealth service provision. This study used data from 949 community clinic patients with primary anxiety and depressive disorders. We developed a shortened (6-item) form of the English and Spanish versions of the 21-item Depression, Anxiety, and Stress Scales (DASS) for in-person, telehealth, and hybrid mental health services using moderated nonlinear factor analysis, designed to maintain maximum reliability across the

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Goodwin, Sarah, Yigal Attali, Geoffrey LaFlair, et al. Duolingo English Test - Writing Construct. Duolingo, 2023. http://dx.doi.org/10.46999/arxn5612.

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Assessments, especially those used for high-stakes decision making, draw on evidence-based frameworks. Such frameworks inform every aspect of the testing process, from development to results reporting. The frameworks that language assessment professionals use draw on theory in language learning, assessment design, and measurement and psychometrics in order to provide underpinnings for the evaluation of language skills including speaking, writing, reading, and listening. This paper focuses on the construct, or underlying trait, of writing ability. The paper conceptualizes the writing construct

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Chen, Guang. Multi-agent Collaborative Perception for Autonomous Driving: Unsettled Aspects. SAE International, 2023. http://dx.doi.org/10.4271/epr2023017.

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<div class="section abstract"><div class="htmlview paragraph">This report delves into the field of multi-agent collaborative perception (MCP) for autonomous driving: an area that remains unresolved. Current single-agent perception systems suffer from limitations, such as occlusion and sparse sensor observation at a far distance.</div><div class="htmlview paragraph"><b>Multi-agent Collaborative Perception for Autonomous Driving: Unsettled Aspects</b> addresses three unsettled topics that demand immediate attention: <ul class="list disc"><li class="li

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McGregor-Lowndes, Myles, Marie Balczun, and Alexandra Williamson. An examination of tax-deductible donations made by Australian taxpayers in 2019-20 : ACPNS Working Paper no. 75. Queensland University of Technology, 2022. http://dx.doi.org/10.5204/rep.eprints.235086.

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This study uses information from published Australian Taxation Office (ATO) data and represents the extent and characteristics of tax-deductible donations made and claimed by Australian taxpayers to Deductible Gift Recipients (DGRs) at Item D9 Gifts or Donations in their individual income tax returns for the 2019-20 income year. The total amount donated and claimed as tax deductible donations in 2019-20 was $3.85 billion. This constitutes a decrease of 2.11 per cent or $83 million from the previous income year. The average tax-deductible donation made to DGRs and claimed by Australian taxpayer

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Warfield, Lisa. 2023 NIST Summary of U.S. Legal Metrology Activities. National Institute of Standards and Technology, 2023. http://dx.doi.org/10.6028/nist.sp.2200-02e2023.

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The NIST Office of Weights and Measures (OWM) presents its second issue of the 2023 NIST Annual Summary of U.S. Legal Metrology Activities report. This report includes a summary of changes made to NIST Handbook 44 (2023) Specifications, Tolerances and Other Technical Requirements for Commercial Weighing and Measuring Devices, NIST Handbook 130 (2023) Uniform Laws and Regulations in the Areas of Legal Metrology, and Fuel Quality, and NIST Handbook 133 (2023) Checking the Net Contents of Packaged Goods. The summary will provide an archival record of proposals and associated actions with the goal

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