Integrating time forgetting mechanisms into topic-based user interest profiling
Contribuinte(s) |
Raghaven, Vijay Hu, Xiaolin Liau, Churn-Jung Treur, Jan |
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Data(s) |
2013
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Resumo |
The rapid development of the World Wide Web has created massive information leading to the information overload problem. Under this circumstance, personalization techniques have been brought out to help users in finding content which meet their personalized interests or needs out of massively increasing information. User profiling techniques have performed the core role in this research. Traditionally, most user profiling techniques create user representations in a static way. However, changes of user interests may occur with time in real world applications. In this research we develop algorithms for mining user interests by integrating time decay mechanisms into topic-based user interest profiling. Time forgetting functions will be integrated into the calculation of topic interest measurements on in-depth level. The experimental study shows that, considering temporal effects of user interests by integrating time forgetting mechanisms shows better performance of recommendation. |
Formato |
application/pdf |
Identificador | |
Publicador |
IEEE |
Relação |
http://eprints.qut.edu.au/66877/3/66877b.pdf DOI:10.1109/WI-IAT.2013.132 Tang, Xiaoyu, Xu, Yue, & Geva, Shlomo (2013) Integrating time forgetting mechanisms into topic-based user interest profiling. In Raghaven, Vijay, Hu, Xiaolin, Liau, Churn-Jung, & Treur, Jan (Eds.) Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence (WI) and Intelligent Agent Technology (IAT), IEEE, Atlanta, Georgia, pp. 1-4. |
Direitos |
Copyright 2013 by The Institute of Electrical and Electronics Engineers, Inc. Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. Other copying, reprint, or republication requests should be addressed to: IEEE Copyrights Manager, IEEE Service Center, 445 Hoes Lane, P.O. Box 133, Piscataway, NJ 08855-1331. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors’ opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors, the IEEE Computer Society, or the Institute of Electrical and Electronics Engineers, Inc. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Recommender systems #User profiling #Time forgetting #Temporal dynamics |
Tipo |
Conference Paper |