User profiling in personalization applications through rule discovery and validation

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

User profiling in personalization applications through rule discovery and validation

Full text

Pdf (675 KB)

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: 377 - 381

Year of Publication: 1999

ISBN:1-58113-143-7

Authors

Gediminas Adomavicius	New York University
Alexander Tuzhilin	New York University

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): 147, Citation Count: 11

Additional Information:

references cited by index terms collaborative colleagues peer to peer

Tools and Actions:	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/10.1145/312129.312287 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.

	AMS+96	Rakesh Agrawal , Heikki Mannila , Ramakrishnan Srikant , Hannu Toivonen , A. Inkeri Verkamo, Fast discovery of association rules, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996
	ASY98	Charu C. Aggarwal , Philip S. Yu, Online Generation of Association Rules, Proceedings of the Fourteenth International Conference on Data Engineering, p.402-411, February 23-27, 1998
	AT	G. A domavicius and A. Tuzhilin. Efficient rule post-analysis methods for personalization applications. In preparation.
	BFOS84	L. Breiman, J. H. Friedman, R.A. Olshen, and C.J. Stone. Classification and Regression Trees. Wadsworth Publishers, 1984.
	BMUT97	Sergey Brin , Rajeev Motwani , Jeffrey D. Ullman , Shalom Tsur, Dynamic itemset counting and implication rules for market basket data, Proceedings of the 1997 ACM SIGMOD international conference on Management of data, p.255-264, May 11-15, 1997, Tucson, Arizona, United States
	cac97	Communications of the A CM, 40(3):SS-S9, 1997. Special issue on Recommender Systems.
	FP96	T. Fawcett and F. Provost. Combining data mining and machine learning for efficient user profiling, in Proceedings of the Second Interna. tional Conference on Knowledge Discovery and Data Mining, August 1996.
	KMR+94	Mika Klemettinen , Heikki Mannila , Pirjo Ronkainen , Hannu Toivonen , A. Inkeri Verkamo, Finding interesting rules from large sets of discovered association rules, Proceedings of the third international conference on Information and knowledge management, p.401-407, November 29-December 02, 1994, Gaithersburg, Maryland, United States [doi>10.1145/191246.191314]
	PR93	D. Peppers and M. Rogers. The One-to-One Future. Doubleday, 1993.
	PSM94	G. Piatetsky-Shapiro and C. J. Matheus. The interestingness of deviations. In Proceedings of the AAAI-gd Workshop on Knowledge Discovery in Databases, 1994.
	ST96	Avi Silberschatz , Alexander Tuzhilin, What Makes Patterns Interesting in Knowledge Discovery Systems, IEEE Transactions on Knowledge and Data Engineering, v.8 n.6, p.970-974, December 1996 [doi>10.1109/69.553165 ]

CITED BY 11

	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
	Tsvi Kuflik , Bracha Shapira , Peretz Shoval, Stereotype-based versus personal-based filtering rules in information filtering systems, Journal of the American Society for Information Science and Technology, v.54 n.3, p.243-250, February 1, 2003
	Balaji Padmanabhan , Zhiqiang Zheng , Steven O. Kimbrough, Personalization from incomplete data: what you don't know can hurt, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, p.154-163, August 26-29, 2001, San Francisco, California
	Bing Liu , Wynne Hsu , Yiming Ma, Identifying non-actionable association rules, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, p.329-334, August 26-29, 2001, San Francisco, California
	Bing Liu , Minqing Hu , Wynne Hsu, Multi-level organization and summarization of the discovered rules, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, p.208-217, August 20-23, 2000, Boston, Massachusetts, United States
	Israel Spiegler , Ayelet Berg, User profile as a basis for an electronic statistical consulting system, Communications of the AIS, v.3 n.3es, May 2000
	Panagiotis Germanakos , Nikos Tsianos , Zacharias Lekkas , Constantinos Mourlas , George Samaras, Capturing essential intrinsic user behaviour values for the design of comprehensive web-based personalized environments, Computers in Human Behavior, v.24 n.4, p.1434-1451, July, 2008
	Gediminas Adomavicius , Alexander Tuzhilin, Expert-Driven Validation of Rule-Based User Models in Personalization Applications, Data Mining and Knowledge Discovery, v.5 n.1-2, p.33-58, January-April 2001
	Christoforos Panayiotou , George Samaras, mPERSONA: personalized portals for the wireless user: An agent approach, Mobile Networks and Applications, v.9 n.6, p.663-677, December 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
	Christoforos Panayiotou , Maria Andreou , George Samaras, Using time and activity in personalization for the mobile user, Proceedings of the 5th ACM international workshop on Data engineering for wireless and mobile access, June 25-25, 2006, Chicago, Illinois, USA

INDEX TERMS

Primary Classification:
H. Information Systems
H.1 MODELS AND PRINCIPLES

Additional Classification:
H. Information Systems
H.2 DATABASE MANAGEMENT
H.2.1 Logical Design
Subjects: Data models
H.2.8 Database applications
Subjects: Data mining
H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)

General Terms:
Algorithms, Design, Human Factors, Management, Measurement, Performance, Theory, Verification

Collaborative Colleagues:

Gediminas Adomavicius: colleagues

Alexander Tuzhilin: colleagues

Peer to Peer - Readers of this Article have also read:

Constructing reality Proceedings of the 11th annual international conference on Systems documentation
Douglas A. Powell , Norman R. Ball , Mansel W. Griffiths
Data structures for quadtree approximation and compression Communications of the ACM 28, 9
Hanan Samet
A hierarchical single-key-lock access control using the Chinese remainder theorem Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing
Kim S. Lee , Huizhu Lu , D. D. Fisher
The GemStone object database management system Communications of the ACM 34, 10
Paul Butterworth , Allen Otis , Jacob Stein
Putting innovation to work: adoption strategies for multimedia communication systems Communications of the ACM 34, 12
Ellen Francik , Susan Ehrlich Rudman , Donna Cooper , Stephen Levine

Adobe Acrobat

QuickTime

Windows Media Player

Real Player