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» Recommender systems in e-commerce
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CSCW
2006
ACM
16 years 10 days ago
Don't look stupid: avoiding pitfalls when recommending research papers
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
Sean M. McNee, Nishikant Kapoor, Joseph A. Konstan
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
16 years 6 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
JCDL
2005
ACM
95views Education» more  JCDL 2005»
15 years 12 months ago
Link prediction approach to collaborative filtering
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most...
Zan Huang, Xin Li, Hsinchun Chen
IUI
2000
ACM
15 years 10 months ago
Virtual reviewers for collaborative exploration of movie reviews
We propose a collaborative exploration system that helps users to explore recommendations from various viewpoints. Given ratings and reviews on movies from reviewers, the system p...
Jun'ichi Tatemura
HT
2010
ACM
15 years 3 months ago
Enhancing search applications by utilizing mind maps
In this paper we present how sharing and utilizing mind maps could enhance search applications such as document search engines and recommender systems. In addition, we briefly pre...
Jöran Beel, Bela Gipp