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» Explaining collaborative filtering recommendations
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WWW
2001
ACM
14 years 8 months ago
Building a Lifestyle Recommender System
Recommender systems are new types of internet-based software tools, designed to help users find their way through today's complex on-line shops and entertainment websites. He...
Supiya Ujjin, Peter J. Bentley
KDD
2008
ACM
209views Data Mining» more  KDD 2008»
14 years 8 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
13 years 9 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
AH
2006
Springer
13 years 11 months ago
eDAADe: An Adaptive Recommendation System for Comparison and Analysis of Architectural Precedents
We built a Web-based adaptive recommendation system for students to select and suggest architectural cases when they analyze "Case Study" work within the architectural de...
Shu-Feng Pan, Ji-Hyun Lee
ICWSM
2008
13 years 9 months ago
Recommendation of Multimedia Items by Link Analysis and Collaborative Filtering
We investigate two recommendation approaches suitable for online multimedia sharing services. Our first approach, UserRank, recommends items by global interestingness irrespective...
Davin Wong, Ella Bingham, Saara Hyvönen