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» Learning Collaborative Information Filters
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CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
13 years 10 months ago
Using Temporal Information in Collaborative Filtering: An Empirical Study
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...
Young Park, Tong-Queue Lee
FLAIRS
2004
13 years 10 months ago
A New Filtering Model towards an Intelligent Guide Agent
In E-learning systems, where both helpers (tutors) and learners are separated geographically, finding a reliable helper is one of the most important challenges. Although helpers c...
Mohammed Abdel Razek, Claude Frasson, Marc Kaltenb...
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
14 years 2 months ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi
RECSYS
2009
ACM
14 years 3 months ago
TagiCoFi: tag informed collaborative filtering
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
CHI
2009
ACM
14 years 9 months ago
Learning design principles for a collaborative information seeking system
While collaboration is a natural choice in many situations, there is a lack of specialized tools for collaboratively seeking information. We present design specifications and impl...
Chirag Shah, Gary Marchionini, Diane Kelly