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FQAS
2009
Springer
125views Database» more  FQAS 2009»
14 years 2 months ago
Predicting Neighbor Goodness in Collaborative Filtering
Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field. The present work...
Alejandro Bellogín, Pablo Castells
ECIR
2010
Springer
13 years 9 months ago
A Performance Prediction Approach to Enhance Collaborative Filtering Performance
Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field. The present work...
Alejandro Bellogín, Pablo Castells
RECSYS
2010
ACM
13 years 7 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
ICDIM
2010
IEEE
13 years 5 months ago
Social network collaborative filtering framework and online trust factors: A case study on Facebook
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...
Wei Chen, Simon Fong
AH
2008
Springer
14 years 1 months ago
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
Linas Baltrunas, Francesco Ricci