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KDD
2009
ACM
223views Data Mining» more  KDD 2009»
14 years 9 months ago
Collaborative filtering with temporal dynamics
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
Yehuda Koren
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
14 years 3 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
WWW
2004
ACM
14 years 9 months ago
Shilling recommender systems for fun and profit
Recommender systems have emerged in the past several years as an effective way to help people cope with the problem of information overload. One application in which they have bec...
Shyong K. Lam, John Riedl
RECSYS
2009
ACM
14 years 3 months ago
Increasing engagement through early recommender intervention
Social network sites rely on the contributions of their members to create a lively and enjoyable space. Recent research has focused on using personalization and recommender techno...
Jill Freyne, Michal Jacovi, Ido Guy, Werner Geyer
EWCBR
1998
Springer
14 years 1 months ago
WWW Assisted Browsing by Reusing Past Navigations of a Group of Users
In this paper, we present our case-based browsing advisor for the Web, called BROADWAY. BROADWAY follows a group of users during their navigations and supports an indirect collabor...
Michel Jaczynski, Brigitte Trousse