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» Recommender Systems by means of Information Retrieval
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SIGIR
2009
ACM
15 years 4 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
IIR
2010
14 years 11 months ago
An IR-Based Approach for Tag Recommendation
Thanks to the continuous growth of collaborative platforms like YouTube, Flickr and Delicious, we are recently witnessing to a rapid evolution of web dynamics towards a more `soci...
Cataldo Musto, Fedelucio Narducci, Marco de Gemmis...
ECIR
2011
Springer
14 years 1 months ago
Back to the Roots: Mean-Variance Analysis of Relevance Estimations
Recently, mean-variance analysis has been proposed as a novel paradigm to model document ranking in Information Retrieval. The main merit of this approach is that it diversifies t...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
CIKM
2009
Springer
14 years 7 months ago
Measuring system performance and topic discernment using generalized adaptive-weight mean
Standard approaches to evaluating and comparing information retrieval systems compute simple averages of performance statistics across individual topics to measure the overall sys...
Chung Tong Lee, Vishwa Vinay, Eduarda Mendes Rodri...
AIRS
2005
Springer
15 years 3 months ago
A Probabilistic Model for Music Recommendation Considering Audio Features
In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...
Qing Li, Sung-Hyon Myaeng, Donghai Guan, Byeong Ma...