Horting hatches an egg

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Horting hatches an egg: a new graph-theoretic approach to collaborative filtering

Full text

Pdf (1.31 MB)

Source

International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents

San Diego, California, United States

Pages: 201 - 212

Year of Publication: 1999

ISBN:1-58113-143-7

Authors

Charu C. Aggarwal	IBM T. J. Watson Research Center, Yorktown Heights, NY
Joel L. Wolf	IBM T. J. Watson Research Center, Yorktown Heights, NY
Kun-Lung Wu	IBM T. J. Watson Research Center, Yorktown Heights, NY
Philip S. Yu	IBM T. J. Watson Research Center, Yorktown Heights, NY

Sponsors

SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 16, Downloads (12 Months): 146, Citation Count: 44

Additional Information:

references cited by index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/312129.312230 What is a DOI?

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	Charu C. Aggarwal , Joel L. Wolf , Philip S. Yu , Cecilia Procopiuc , Jong Soo Park, Fast algorithms for projected clustering, Proceedings of the 1999 ACM SIGMOD international conference on Management of data, p.61-72, May 31-June 03, 1999, Philadelphia, Pennsylvania, United States
	2	Charu C. Aggarwal , Joel L. Wolf , Philip S. Yu, A Framework for the Optimizing of WWW Advertising, Proceedings of the International IFIP/GI Working Conference on Trends in Distributed Systems for Electronic Commerce, p.1-10, June 03-05, 1998
	3	Thomas T. Cormen , Charles E. Leiserson , Ronald L. Rivest, Introduction to algorithms, MIT Press, Cambridge, MA, 1990
	4	Chris Faloutsos, Access methods for text, ACM Computing Surveys (CSUR), v.17 n.1, p.49-74, March 1985 [doi>10.1145/4078.4080]
	5	Yoav Freund , Raj D. Iyer , Robert E. Schapire , Yoram Singer, An Efficient Boosting Algorithm for Combining Preferences, Proceedings of the Fifteenth International Conference on Machine Learning, p.170-178, July 24-27, 1998
	6	D. Greening, "Building Consumer Trust with Accurate Product Recommendations", LikeMinds White Paper LMWSWP-210-6966, 1997.
	7	Joseph A. Konstan , Bradley N. Miller , David Maltz , Jonathan L. Herlocker , Lee R. Gordon , John Riedl, GroupLens: applying collaborative filtering to Usenet news, Communications of the ACM, v.40 n.3, p.77-87, March 1997 [doi>10.1145/245108.245126]
	8	Paul Resnick , Hal R. Varian, Recommender systems, Communications of the ACM, v.40 n.3, p.56-58, March 1997 [doi>10.1145/245108.245121]
	9	Upendra Shardanand , Pattie Maes, Social information filtering: algorithms for automating “word of mouth”, Proceedings of the SIGCHI conference on Human factors in computing systems, p.210-217, May 07-11, 1995, Denver, Colorado, United States [doi>10.1145/223904.223931]

CITED BY 46

	Batul J. Mirza , Benjamin J. Keller , Naren Ramakrishnan, Studying Recommendation Algorithms by Graph Analysis, Journal of Intelligent Information Systems, v.20 n.2, p.131-160, March 2003
	Tammar Shrot , Avi Rosenfeld , Sarit Kraus, Leveraging Users for Efficient Interruption Management in Agent-User Systems, Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, p.123-130, September 15-18, 2009
	Badrul Sarwar , George Karypis , Joseph Konstan , John Reidl, Item-based collaborative filtering recommendation algorithms, Proceedings of the 10th international conference on World Wide Web, p.285-295, May 01-05, 2001, Hong Kong, Hong Kong
	Kwok-Wai Cheung , James T. Kwok , Martin H. Law , Kwok-Ching Tsui, Mining customer product ratings for personalized marketing, Decision Support Systems, v.35 n.2, p.231-243, May 2003
	Brian Amento , Loren Terveen , Will Hill , Deborah Hix , Robert Schulman, Experiments in social data mining: The TopicShop system, ACM Transactions on Computer-Human Interaction (TOCHI), v.10 n.1, p.54-85, March 2003
	George Karypis, Evaluation of Item-Based Top-N Recommendation Algorithms, Proceedings of the tenth international conference on Information and knowledge management, October 05-10, 2001, Atlanta, Georgia, USA
	Claus Boyens , Oliver Günther , Maximilian Teltzrow, Privacy conflicts in CRM services for online shops: a case study, Proceedings of the IEEE international conference on Privacy, security and data mining, p.27-35, December 01, 2002, Maebashi City, Japan
	Mukund Deshpande , George Karypis, Item-based top-N recommendation algorithms, ACM Transactions on Information Systems (TOIS), v.22 n.1, p.143-177, January 2004
	Zan Huang , Wingyan Chung , Hsinchun Chen, A graph model for E-commerce recommender systems, Journal of the American Society for Information Science and Technology, v.55 n.3, p.259-274, February 2004
	Sung Ho Ha , Sung Min Bae , Sang Chan Park, Customer's time-variant purchase behavior and corresponding marketing strategies: an online retailer's case, Computers and Industrial Engineering, v.43 n.4, p.801-820, September 2002
	Kamal Ali , Wijnand van Stam, TiVo: making show recommendations using a distributed collaborative filtering architecture, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, August 22-25, 2004, Seattle, WA, USA
	Naren Ramakrishnan, PIPE: Web Personalization by Partial Evaluation, IEEE Internet Computing, v.4 n.6, p.21-31, November 2000
	Jonathan L. Herlocker , Joseph A. Konstan , Loren G. Terveen , John T. Riedl, Evaluating collaborative filtering recommender systems, ACM Transactions on Information Systems (TOIS), v.22 n.1, p.5-53, January 2004
	Saverio Perugini , Marcos André Gonçalves , Edward A. Fox, Recommender Systems Research: A Connection-Centric Survey, Journal of Intelligent Information Systems, v.23 n.2, p.107-143, September 2004
	Bradley N. Miller , Joseph A. Konstan , John Riedl, PocketLens: Toward a personal recommender system, ACM Transactions on Information Systems (TOIS), v.22 n.3, p.437-476, July 2004
	Kristina Höök , David Benyon , Alan J. Munro, References, Designing information spaces: the social navigation approach, Springer-Verlag, London, 2003
	Gediminas Adomavicius , Ramesh Sankaranarayanan , Shahana Sen , Alexander Tuzhilin, Incorporating contextual information in recommender systems using a multidimensional approach, ACM Transactions on Information Systems (TOIS), v.23 n.1, p.103-145, January 2005
	Gediminas Adomavicius , Alexander Tuzhilin, Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions, IEEE Transactions on Knowledge and Data Engineering, v.17 n.6, p.734-749, June 2005
	Eui-Hong (Sam) Han , George Karypis, Feature-based recommendation system, Proceedings of the 14th ACM international conference on Information and knowledge management, October 31-November 05, 2005, Bremen, Germany
	Zan Huang , Hsinchun Chen , Daniel Zeng, Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering, ACM Transactions on Information Systems (TOIS), v.22 n.1, p.116-142, January 2004
	Saddys Segrera , María N. Moreno, An experimental comparative study of web mining methods for recommender systems, Proceedings of the 6th WSEAS International Conference on Distance Learning and Web Engineering, p.56-61, September 22-24, 2006, Lisbon, Portugal
	Mehdi Adda , Rokia Missaoui , Petko Valtchev, Relation rule mining, International Journal of Parallel, Emergent and Distributed Systems, v.22 n.6, p.439-449, November 2007
	Slobodan Vucetic , Zoran Obradovic, Collaborative Filtering Using a Regression-Based Approach, Knowledge and Information Systems, v.7 n.1, p.1-22, January 2005
	Seung-Taek Park , David Pennock , Omid Madani , Nathan Good , Dennis DeCoste, Naïve filterbots for robust cold-start recommendations, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, August 20-23, 2006, Philadelphia, PA, USA
	George Lekakos , George M. Giaglis, Improving the prediction accuracy of recommendation algorithms: Approaches anchored on human factors, Interacting with Computers, v.18 n.3, p.410-431, May, 2006
	Yong-Hyuk Kim , Byung-Ro Moon, Multicampaign Assignment Problem, IEEE Transactions on Knowledge and Data Engineering, v.18 n.3, p.405-414, March 2006
	Mark O'Connor , Dan Cosley , Joseph A. Konstan , John Riedl, PolyLens: a recommender system for groups of users, Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work, p.199-218, September 16-20, 2001, Bonn, Germany
	Andrew Webster , Julita Vassileva, The keepup recommender system, Proceedings of the 2007 ACM conference on Recommender systems, October 19-20, 2007, Minneapolis, MN, USA
	Ronald Chung , David Sundaram , Ananth Srinivasan, Integrated personal recommender systems, Proceedings of the ninth international conference on Electronic commerce, August 19-22, 2007, Minneapolis, MN, USA
	Charu C. Aggarwal , Philip S. Yu, An automated system for web portal personalization, Proceedings of the 28th international conference on Very Large Data Bases, p.1031-1040, August 20-23, 2002, Hong Kong, China
	Charu C. Aggarwal, On Leveraging User Access Patterns for Topic Specific Crawling, Data Mining and Knowledge Discovery, v.9 n.2, p.123-145, September 2004
	Jyun-Cheng Wang , Chui-Chen Chiu, Recommending trusted online auction sellers using social network analysis, Expert Systems with Applications: An International Journal, v.34 n.3, p.1666-1679, April, 2008
	Jon Herlocker , Joseph A. Konstan , John Riedl, An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms, Information Retrieval, v.5 n.4, p.287-310, October 2002
	R. D. Lawrence , G. S. Almasi , V. Kotlyar , M. S. Viveros , S. S. Duri, Personalization of Supermarket Product Recommendations, Data Mining and Knowledge Discovery, v.5 n.1-2, p.11-32, January-April 2001
	Juhnyoung Lee , Mark Podlaseck , Edith Schonberg , Robert Hoch, Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising, Data Mining and Knowledge Discovery, v.5 n.1-2, p.59-84, January-April 2001
	J. Ben Schafer , Joseph A. Konstan , John Riedl, E-Commerce Recommendation Applications, Data Mining and Knowledge Discovery, v.5 n.1-2, p.115-153, January-April 2001
	Kwok-Wai Cheung , Lily F. Tian, Learning User Similarity and Rating Style for Collaborative Recommendation, Information Retrieval, v.7 n.3-4, p.395-410, September-December 2004
	Raz Lin , Sarit Kraus , Jeffrey Tew, OSGS—A Personalized Online Store for E-Commerce Environments, Information Retrieval, v.7 n.3-4, p.369-394, September-December 2004
	Yun Huang , Noshir Contractor , York Yao, CI-KNOW: recommendation based on social networks, Proceedings of the 2008 international conference on Digital government research, May 18-21, 2008, Montreal, Canada
	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
	Seung-Taek Park , David M. Pennock, Applying collaborative filtering techniques to movie search for better ranking and browsing, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, August 12-15, 2007, San Jose, California, USA
	Charalampos Vassiliou , Dimitris Stamoulis , Drakoulis Martakos, A hybrid content-based clustering architecture: minimising uncertainty in personalised multimedia content, International Journal of Intelligent Systems Technologies and Applications, v.1 n.3/4, p.319-345, June 2006
	Zhigeng Pan , Bing Xu , Hongwei Yang , Mingmin Zhang, Content-based personalised recommendation in virtual shopping environment, International Journal of Business Intelligence and Data Mining, v.1 n.4, p.430-449, August 2006
	Xinggang Luo , Yiliu Tu , Jiafu Tang , C. K. Kwong, Optimizing customer's selection for configurable product in B2C e-commerce application, Computers in Industry, v.59 n.8, p.767-776, October, 2008
	Ching-Torng Lin , Wei-Chiang Hong , Ye-Fun Chen, Salesman-like recommendation system based on visitor product knowledge and browsing actions, Proceedings of the 9th WSEAS International Conference on Systems Theory and Scientific Computation, p.31-40, August 20-22, 2009, Moscow, Russia
	Wanyu Deng , Qinghua Zheng , Lin Chen, Real-Time Collaborative Filtering Using Extreme Learning Machine, Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, p.466-473, September 15-18, 2009