Difference between revisions of "2004 EvaluatingCollaborativeFilterin"

From GM-RKB
Jump to: navigation, search
(ContinuousReplacement)
(Tag: continuous replacement)
m (Text replacement - " Pedro Domingos" to " Pedro Domingos")
Line 34: Line 34:
 
* 13. Dan Cosley, Shyong K. Lam, Istvan Albert, [[Joseph A. Konstan]], John Riedl, Is Seeing Believing?: How Recommender System Interfaces Affect Users' Opinions, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, April 05-10, 2003, Ft. Lauderdale, Florida, USA [http://doi.acm.org/10.1145/642611.642713 doi:10.1145/642611.642713]
 
* 13. Dan Cosley, Shyong K. Lam, Istvan Albert, [[Joseph A. Konstan]], John Riedl, Is Seeing Believing?: How Recommender System Interfaces Affect Users' Opinions, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, April 05-10, 2003, Ft. Lauderdale, Florida, USA [http://doi.acm.org/10.1145/642611.642713 doi:10.1145/642611.642713]
 
* 14. Dahlen, B. J., Konstan, J. A., Herlocker, J. L., Good, N., Borchers, A., and Riedl, J. 1998. Jump-starting Movielens: User Benefits of Starting a Collaborative Filtering System with "dead Data". TR 98-017. University of Minnesota.]]
 
* 14. Dahlen, B. J., Konstan, J. A., Herlocker, J. L., Good, N., Borchers, A., and Riedl, J. 1998. Jump-starting Movielens: User Benefits of Starting a Collaborative Filtering System with "dead Data". TR 98-017. University of Minnesota.]]
* 15. Pedro Domingos, Matt Richardson, Mining the Network Value of Customers, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, p.57-66, August 26-29, 2001, San Francisco, California [http://doi.acm.org/10.1145/502512.502525 doi:10.1145/502512.502525]
+
* 15. [[Pedro Domingos]], Matt Richardson, Mining the Network Value of Customers, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, p.57-66, August 26-29, 2001, San Francisco, California [http://doi.acm.org/10.1145/502512.502525 doi:10.1145/502512.502525]
 
* 16. David Goldberg, David Nichols, Brian M. Oki, Douglas Terry, Using Collaborative Filtering to Weave An Information Tapestry, Communications of the ACM, v.35 n.12, p.61-70, Dec. 1992 [http://doi.acm.org/10.1145/138859.138867 doi:10.1145/138859.138867]
 
* 16. David Goldberg, David Nichols, Brian M. Oki, Douglas Terry, Using Collaborative Filtering to Weave An Information Tapestry, Communications of the ACM, v.35 n.12, p.61-70, Dec. 1992 [http://doi.acm.org/10.1145/138859.138867 doi:10.1145/138859.138867]
 
* 17. Ken Goldberg, Theresa Roeder, Dhruv Gupta, Chris Perkins, Eigentaste: A Constant Time Collaborative Filtering Algorithm, Information Retrieval, v.4 n.2, p.133-151, July 2001 [https://dx.doi.org/10.1023/A:1011419012209 doi:10.1023/A:1011419012209]
 
* 17. Ken Goldberg, Theresa Roeder, Dhruv Gupta, Chris Perkins, Eigentaste: A Constant Time Collaborative Filtering Algorithm, Information Retrieval, v.4 n.2, p.133-151, July 2001 [https://dx.doi.org/10.1023/A:1011419012209 doi:10.1023/A:1011419012209]

Revision as of 05:31, 16 August 2019

Subject Headings:

Notes

Cited By

Quotes

Abstract

Recommender systems have been evaluated in many, often incomparable, ways. In this article, we review the key decisions in evaluating collaborative filtering recommender systems: the user tasks being evaluated, the types of analysis and datasets being used, the ways in which prediction quality is measured, the evaluation of prediction attributes other than quality, and the user-based evaluation of the system as a whole. In addition to reviewing the evaluation strategies used by prior researchers, we present empirical results from the analysis of various accuracy metrics on one content domain where all the tested metrics collapsed roughly into three equivalence classes. Metrics within each equivalency class were strongly correlated, while metrics from different equivalency classes were uncorrelated.

References

;

 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2004 EvaluatingCollaborativeFilterinJonathan L. Herlocker
Joseph A. Konstan
Loren G. Terveen
John T. Riedl
Evaluating Collaborative Filtering Recommender Systems10.1145/963770.9637722004
AuthorJonathan L. Herlocker +, Joseph A. Konstan +, Loren G. Terveen + and John T. Riedl +
doi10.1145/963770.963772 +
titleEvaluating Collaborative Filtering Recommender Systems +
year2004 +