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ISMIS
2009
Springer
11 years 8 months ago
Alternative Formulas for Rating Prediction Using Collaborative Filtering
This paper proposes and evaluates several alternate design choices for common prediction metrics employed by neighborhood-based collaborative filtering approach. It first explores ...
Amar Saric, Mirsad Hadzikadic, David Wilson
ECWEB
2009
Springer
204views ECommerce» more  ECWEB 2009»
11 years 8 months ago
Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms
Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
István Pilászy, Domonkos Tikk
CSCW
1998
ACM
11 years 5 months ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
IRI
2007
IEEE
11 years 7 months ago
Adapting Ratings in Memory-Based Collaborative Filtering using Linear Regression
We show that the standard memory-based collaborative filtering rating prediction algorithm using the Pearson correlation can be improved by adapting user ratings using linear reg...
Jérôme Kunegis, Sahin Albayrak
INCDM
2007
Springer
121views Data Mining» more  INCDM 2007»
11 years 7 months ago
Collaborative Filtering Using Electrical Resistance Network Models
Abstract. In a recommender system where users rate items we predict the rating of items users have not rated. We define a rating graph containing users and items as vertices and r...
Jérôme Kunegis, Stephan Schmidt
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