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» Replicable Evaluation of Recommender Systems
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IUI
2003
ACM
15 years 3 months ago
Recommendations without user preferences: a natural language processing approach
We examine the problems with automated recommendation systems when information about user preferences is limited. We equate the problem to one of content similarity measurement an...
Michael Fleischman, Eduard H. Hovy
CORR
2010
Springer
169views Education» more  CORR 2010»
14 years 5 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
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
15 years 11 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
SAC
2008
ACM
14 years 10 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
DEXA
2011
Springer
296views Database» more  DEXA 2011»
13 years 10 months ago
A Scalable Tag-Based Recommender System for New Users of the Social Web
Abstract. Folksonomies have become a powerful tool to describe, discover, search, and navigate online resources (e.g., pictures, videos, blogs) on the Social Web. Unlike taxonomies...
Valentina Zanardi, Licia Capra