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» Methods and metrics for cold-start recommendations
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CIKM
2010
Springer
12 years 12 months ago
On bootstrapping recommender systems
Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more a...
Nadav Golbandi, Yehuda Koren, Ronny Lempel
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 12 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
SIGIR
2002
ACM
13 years 4 months ago
Methods and metrics for cold-start recommendations
Andrew I. Schein, Alexandrin Popescul, Lyle H. Ung...
WSDM
2012
ACM
246views Data Mining» more  WSDM 2012»
12 years 12 days ago
Auralist: introducing serendipity into music recommendation
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
Yuan Cao Zhang, Diarmuid Ó Séaghdha,...