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» Learning Collaborative Information Filters
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AAAI
2010
13 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
CIKM
2004
Springer
13 years 10 months ago
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
Collaborative filtering and content-based filtering are two types of information filtering techniques. Combining these two techniques can improve the recommendation effectiveness....
Luo Si, Rong Jin
ACMSE
2006
ACM
13 years 11 months ago
Support vector machines for collaborative filtering
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
Zhonghang Xia, Yulin Dong, Guangming Xing
ICADL
2005
Springer
137views Education» more  ICADL 2005»
13 years 10 months ago
A Collaborative Filtering Based Re-ranking Strategy for Search in Digital Libraries
Users of a digital book library system typically interact with the system to search for books by querying on the metadata describing the books or to search for information in the p...
U. Rohini, Vamshi Ambati
CSCW
1998
ACM
13 years 9 months ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...