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CORR
2010
Springer
169views Education» more  CORR 2010»
12 years 11 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda
CSREAEEE
2006
175views Business» more  CSREAEEE 2006»
13 years 6 months ago
A Time-Based Recommender System Using Implicit Feedback
- Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations based ...
Tong-Queue Lee, Young Park
ESWA
2008
152views more  ESWA 2008»
13 years 5 months ago
Collaborative recommender systems: Combining effectiveness and efficiency
Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendatio...
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
13 years 10 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
13 years 11 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