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SAC
2008
ACM
13 years 7 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, ...
IFIPTM
2009
109views Management» more  IFIPTM 2009»
13 years 5 months ago
Elimination of Subjectivity from Trust Recommendation
In many distributed applications, a party who wishes to make a transaction requires that it has a certain level of trust in the other party. It is frequently the case that the part...
Omar Hasan, Lionel Brunie, Jean-Marc Pierson, Elis...
DBSOCIAL
2011
300views Database» more  DBSOCIAL 2011»
12 years 11 months ago
Boosting video popularity through recommendation systems
While search engines are the major sources of content discovery on online content providers and e-commerce sites, their capability is limited since textual descriptions cannot ful...
Renjie Zhou, Samamon Khemmarat, Lixin Gao, Huiqian...
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
14 years 2 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
MDM
2005
Springer
14 years 1 months ago
Dynamically-optimized context in recommender systems
Traditional approaches to recommender systems have not taken into account situational information when making recommendations, and this seriously limits the relevance of the resul...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang