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» The Continuous Cold-start Problem in e-Commerce Recommender ...
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WEBI
2010
Springer
13 years 2 months ago
Reducing the Cold-Start Problem in Content Recommendation through Opinion Classification
Like search engines, recommender systems have become a tool that cannot be ignored by websites with a large selection of products, music, news or simply webpages links. The perform...
Damien Poirier, Françoise Fessant, Isabelle...
CORR
2010
Springer
48views Education» more  CORR 2010»
13 years 4 months ago
Solving the Cold-Start Problem in Recommender Systems with Social Tags
Zi-Ke Zhang, Chuang Liu, Yi-Cheng Zhang, Tao Zhou
PAKDD
2010
ACM
172views Data Mining» more  PAKDD 2010»
13 years 9 months ago
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems
Tag recommender systems are often used in social tagging systems, a popular family of Web 2.0 applications, to assist users in the tagging process. But in cold-start situations i.e...
Christine Preisach, Leandro Balby Marinho, Lars Sc...
SAC
2008
ACM
13 years 4 months ago
Whom should I trust?: the impact of key figures on cold start recommendations
Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evide...
Patricia Victor, Chris Cornelis, Ankur Teredesai, ...
ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
13 years 2 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...