Chumki Basu, Haym Hirsh, et al.  @ NUS Home/Search
Context Related
| att.com/~wcohen/pos...aaai98collab.ps rutgers.edu/pub/hirsh/papers...aaai1.ps umass.edu/~aseltin..._classification.ps Cached: PS.gz PS PDF Image Update Help From: att.com/~wcohen/ (more) From: rutgers.edu/~hirsh...publications (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: Recommendation systems make suggestions about artifacts to a user. For instance, they may predict whether a user would be interested in seeing a particular movie. Social recomendation methods collect ratings of artifacts from many individuals and use nearest-neighbor techniques to make recommendations to a user concerning new artifacts. However, these methods do not use the significant amount of other information that is often available about the nature of each artifact --- such as cast lists... (Update)
Cited by: More
Comparing Performance of Recommendation Techniques.. - Esmaili, Neshati.. (2006) (Correct)
Building on-line sales assistance systems with ADVISOR SUITE - Jannach, Kreutler (2004) (Correct)
User Profiling in Personal . . . - Godoy, al. (2005) (Correct)
Active bibliography (related documents): More All
0.5: ReferralWeb: A Resource Location System Guided by Personal Relations - Shah (1997) (Correct)
0.2: An Adaptive Web Page Recommendation Service - Balabanovic (1997) (Correct)
0.2: Learning to Classify Text from Labeled and Unlabeled Documents - Nigam (1998) (Correct)
Similar documents based on text: More All
0.4: Who's Who in Recommender Systems - Workshop Attendees Using (2001) (Correct)
0.3: Technical Paper Recommendation: A Study in.. - Basu, Hirsh.. (2001) (Correct)
0.3: Collaborative Filtering Approach for Software Function.. - Ohsugi, Monden, Morisaki (2002) (Correct)
Related documents from co-citation: More All
33: word of mouth (context) - Shardanand, Maes - 1995
28: Empirical analysis of predictive algorithms for collaborative filtering - Breese, Heckerman et al. - 1998
27: Learning collaborative information filters - Billsus, Pazzani - 1998
BibTeX entry: (Update)
C. Basu, H. Hirsh, and W. W. Cohen. Recommendation as classification: Using social and content-based information in recommendation. In Proceedings of the Fifteenth National Conference on Artificial Intelligence, pages 714--720, Madison, WI, July 1998. http://citeseer.comp.nus.edu.sg/120504.html More
@misc{ basu98recommendation,
author = "C. Basu and H. Hirsh and W. Cohen",
title = "Recommendation as classification: Using social and content-based information
in recommendation",
text = "C. Basu, H. Hirsh, and W. W. Cohen. Recommendation as classification: Using
social and content-based information in recommendation. In Proceedings of
the Fifteenth National Conference on Artificial Intelligence, pages 714--720,
Madison, WI, July 1998.",
year = "1998",
url = "citeseer.comp.nus.edu.sg/120504.html" }
Citations (may not include all citations):248 Fast Effective Rule Induction - Cohen - 1995
111 Recommending and Evaluating Choices in a Virtual Community o.. (context) - Hill, Stead et al. - 1995
88 Learning Trees and Rules with Setvalued Features - Cohen - 1996
25 Evaluating Text Categorization - Lewis - 1991
9 and Billsus (context) - Freeman, Muramatsu - 1996
6 FeatureBased and Clique-Based User Models for Movie Selectio.. (context) - Karunanithi, Alspector - 1996
2 Communications of the ACM Vol (context) - Balabanovic, Shoham - 1997
1 Mathematical Statistics with Applications (context) - California, Scheaffer et al. - 1981
1 Statistics: concepts and controversies (context) - Press, edition - 1985
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.research.att.com/~wcohen/): More
Learning Approximate Control Rules Of High Utility - Cohen (1990) (Correct)
Learning to Order Things - Cohen, Schapire, Singer (1998) (Correct)
WHIRL: A Word-based Information Representation Language - Cohen (1998) (Correct)
Online articles have much greater impact More about CiteSeer.IST at NUS Add search form to your site Submit documents Feedback
CiteSeer.IST at NUS - Copyright Penn State and NEC. Hosted by the School of Computing, National University of Singapore.