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AAAI
2010
15 years 6 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling
RECSYS
2010
ACM
15 years 5 months ago
Recommending based on rating frequencies
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
WEBI
2010
Springer
15 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...
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DATAMINE
2010
161views more  DATAMINE 2010»
15 years 2 months ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan
HICSS
2005
IEEE
223views Biometrics» more  HICSS 2005»
15 years 10 months ago
Intelligent Agent Supported Business Process Management
The complex business environment requires managing business processes with the ability to adapt to changes and to collaborate in activities. Conventional workflow approaches based...
Minhong Wang, Huaiqing Wang