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GRC
2007
IEEE
13 years 7 months ago
Privacy Preserving Collaborative Filtering Using Data Obfuscation
Collaborative filtering (CF) systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. Th...
Rupa Parameswaran, Douglas M. Blough
JCDL
2005
ACM
95views Education» more  JCDL 2005»
14 years 1 months ago
Link prediction approach to collaborative filtering
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most...
Zan Huang, Xin Li, Hsinchun Chen
ECIR
2010
Springer
13 years 9 months ago
Goal-Driven Collaborative Filtering - A Directional Error Based Approach
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...
Tamas Jambor, Jun Wang
SOCIALCOM
2010
13 years 5 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang
CIKM
2004
Springer
14 years 28 days 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