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RECSYS
2009
ACM
13 years 11 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
UM
2010
Springer
13 years 2 months ago
Interweaving Public User Profiles on the Web
While browsing the Web, providing profile information in social networking services, or tagging pictures, users leave a plethora of traces. In this paper, we analyze the nature of ...
Fabian Abel, Nicola Henze, Eelco Herder, Daniel Kr...
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 14 days ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
AAAI
2012
11 years 7 months ago
Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach
The recent popularization of social web services has made them one of the primary uses of the World Wide Web. An important concept in social web services is social actions such as...
Nozomi Nori, Danushka Bollegala, Hisashi Kashima
AIRS
2005
Springer
13 years 10 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...