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CIKM
2010
Springer
13 years 3 months ago
On bootstrapping recommender systems
Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more a...
Nadav Golbandi, Yehuda Koren, Ronny Lempel
KDD
2008
ACM
155views Data Mining» more  KDD 2008»
14 years 8 months ago
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren
CSCW
1996
ACM
14 years 18 days ago
Talking to Strangers: An Evaluation of the Factors Affecting Electronic Collaboration
This empirical study examines factors influencing the success of a commercial groupware system in creating group archives and supporting asynchronous communication. The study inve...
Steve Whittaker
IUI
2009
ACM
14 years 5 months ago
Tagsplanations: explaining recommendations using tags
While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improvi...
Jesse Vig, Shilad Sen, John Riedl
ENTER
2007
Springer
14 years 11 days ago
Developing a Conversational Travel Advisor with ADVISOR SUITE
Due to the inherent complexity of building highly-interactive and personalized web applications, the development of a web-based travel advisory system can be a costly and timecons...
Dietmar Jannach, Markus Zanker, Markus Jessenitsch...