Detection of shifts in user interests for personalized information filtering

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Detection of shifts in user interests for personalized information filtering

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Zurich, Switzerland

Pages: 317 - 325

Year of Publication: 1996

ISBN:0-89791-792-8

Authors

W. Lam	Department of Management Sciences, S306 Pappajohn Building, The University of Iowa, Iowa City, Iowa
S. Mukhopadhyay	Computer and Information Science, Purdue University School of Science at Indianapolis, 723 W. Michigan St. SL280, Indianapolis, IN
J. Mostafa	School of Library and Information Science, Indiana University, Bloomington, IN
M. Palakal	Computer and Information Science, Purdue University School of Science at Indianapolis, 723 W. Michigan St. SL280, Indianapolis, IN

Sponsor

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 11, Downloads (12 Months): 37, Citation Count: 16

Additional Information:

references cited by index terms collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Nicholas J. Belkin , W. Bruce Croft, Information filtering and information retrieval: two sides of the same coin?, Communications of the ACM, v.35 n.12, p.29-38, Dec. 1992 [doi>10.1145/138859.138861]
	2	Gerhard Fischer , Curt Stevens, Information access in complex, poorly structured information spaces, Proceedings of the SIGCHI conference on Human factors in computing systems: Reaching through technology, p.63-70, April 27-May 02, 1991, New Orleans, Louisiana, United States [doi>10.1145/108844.108854]
	3	Jennings, A. and Higuchi, H. (1992). A Personal News Service Based on a User Model Neural Network. In IE- ICE Transactions on Information and Systems, March 1992.
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	7	Mukhopadhyay, S., Mostafa, J., Palakal, M., Lain, W., Xue, L., and Hudli, A. (1996). An Adaptive Multi- Level Information Filtering System. In Proceedings of 5th International Conference on User Modeling, 21-28.
	8	Kumpati S. Narendra , Mandayam A. L. Thathachar, Learning automata: an introduction, Prentice-Hall, Inc., Upper Saddle River, NJ, 1989
	9	Gerard Salton , Michael J. McGill, Introduction to Modern Information Retrieval, McGraw-Hill, Inc., New York, NY, 1986
	10	Seth, B. D. (1994). A Learning Approach to Personalized Information Filtering. M. S. Thesis, MIT- EECS dept, USA.
	11	Tou, J. T. and Gonzalez, R. C. (1974). Pattern Recognition Principles. Addision-Wcslcy.
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	13	Zacks, S. and Barzily, Z. (1981). Bayes Procedures for Detecting a Shift in the Probability of Success in a Series of Bernoulli Trials. Journal of Statistical Planning and Inference, 5, 107-119.

CITED BY 16

	J. Mostafa , S. Mukhopadhyay , M. Palakal , W. Lam, A multilevel approach to intelligent information filtering: model, system, and evaluation, ACM Transactions on Information Systems (TOIS), v.15 n.4, p.368-399, Oct. 1997
	Fumiyo Fukumoto , Yoshimi Suzuki, Event tracking based on domain dependency, Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, p.57-64, July 24-28, 2000, Athens, Greece
	Dwi H. Widyantoro , Thomas R. Ioerger , John Yen, An adaptive algorithm for learning changes in user interests, Proceedings of the eighth international conference on Information and knowledge management, p.405-412, November 02-06, 1999, Kansas City, Missouri, United States
	R. R. Raje , S. Mukhopadhyay , M. Boyles , N. Patel , A. Papiez , J. Mostafa, On designing and implementing a collaborative system using the distributed-object model of Java-RMI, Progress in computer research, Nova Science Publishers, Inc., Commack, NY, 2001
	James Allan , Ron Papka , Victor Lavrenko, On-line new event detection and tracking, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, p.37-45, August 24-28, 1998, Melbourne, Australia
	Susan Gauch , Jeason Chaffee , Alaxander Pretschner, Ontology-based personalized search and browsing, Web Intelligence and Agent System, v.1 n.3-4, p.219-234, March 2003
	R. R. Raje , S. Mukhopadhyay , M. Boyles , N. Patel , A. Papiez , J. Mostafa, On designing and implementing a collaborative system using the distributed-object model of Java-RMI, Progress in computer research, Nova Science Publishers, Inc., Commack, NY, 2001
	Ryen W. White , Ian Ruthven , Joemon M. Jose , C. J. Van Rijsbergen, Evaluating implicit feedback models using searcher simulations, ACM Transactions on Information Systems (TOIS), v.23 n.3, p.325-361, July 2005
	Christopher D Staff, The hypercontext framework for adaptive Hypertext, Proceedings of the thirteenth ACM conference on Hypertext and hypermedia, June 11-15, 2002, College Park, Maryland, USA
	Mark Wasson, Using summaries in document retrieval, Proceedings of the ACL-02 Workshop on Automatic Summarization, p.27-44, July 11-12, 2002, Phildadelphia, Pennsylvania
	Cyrus Shahabi , Yi-Shin Chen, An Adaptive Recommendation System without Explicit Acquisition of User Relevance Feedback, Distributed and Parallel Databases, v.14 n.2, p.173-192, September 2003
	Ryen W. White, Using searcher simulations to redesign a polyrepresentative implicit feedback interface, Information Processing and Management: an International Journal, v.42 n.5, p.1185-1202, September 2006
	Nikolaos Nanas , Anne Roeck, Autopoiesis, the immune system, and adaptive information filtering, Natural Computing: an international journal, v.8 n.2, p.387-427, June 2009
	Rajeev R. Raje , Snehasis Mukhopadhyay , Michael Boyles , Artur Papiez , Nila Patel , Mathew Palakal , Javed Mostafa, A bidding mechanism for Web-based agents involved in information classification, World Wide Web, v.1 n.3, p.155-165, 1998
	Cai-Nicolas Ziegler , Georg Lausen , Joseph A. Konstan, On exploiting classification taxonomies in recommender systems, AI Communications, v.21 n.2-3, p.97-125, April 2008
	Xing Jiang , Ah-Hwee Tan, Learning and inferencing in user ontology for personalized Semantic Web search, Information Sciences: an International Journal, v.179 n.16, p.2794-2808, July, 2009