Greedy Recommending Is Not Always Optimal (2004)  (Make Corrections)  
Maarten van Someren, Vera Hollink, Stephan ten Hagen

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Abstract: Recommender systems suggest objects to users. One form recommends documents or other objects to users searching information on a web site. A recommender system can use data about a user to recommend information, for example web pages. Current methods for recommending are aimed at optimising single recommendations. However, usually a series of interactions is needed to nd the desired information. (Update)

Active bibliography (related documents):   More   All
2.1:   Greedy Recommending is Not Always Optimal - van Someren, Hollink, Hagen (2003)   (Correct)
0.5:   Exploration/Exploitation In Adaptive Recommender Systems - Hagen, van Someren, Hollink (2003)   (Correct)
0.3:   Collaborative Filtering: A Machine Learning Perspective - Marlin (2004)   (Correct)

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BibTeX entry:   (Update)

@misc{ someren-greedy,
  author = "Maarten van Someren and Vera Hollink and Stephan ten Hagen",
  title = "Greedy Recommending Is Not Always Optimal",
  url = "citeseer.comp.nus.edu.sg/674731.html" }
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1   Adaptive web sites: Automatically syntesizing web pages (context) - Perkowitz, Etzioni - 1998
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