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ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
15 years 6 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
CSCW
2002
ACM
14 years 11 months ago
On the recommending of citations for research papers
Collaborative filtering has proven to be valuable for recommending items in many different domains. In this paper, we explore the use of collaborative filtering to recommend resea...
Sean M. McNee, Istvan Albert, Dan Cosley, Prateep ...
72
Voted
GCC
2009
Springer
14 years 9 months ago
On HLA-Based Collaborative Simulation Techniques
The design and development of a complex system as well as the simulation of its dynamic behavior are usually involved in multidisciplinary field knowledge. HLA-based collaborative ...
Fan Miao Miao, Fan Yu Shun
98
Voted
ISEC
2001
Springer
126views ECommerce» more  ISEC 2001»
15 years 4 months ago
Building Trust for E-Commerce: Collaborating Label Bureaus
A major problem facing the full deployment of business-to-consumer (B2C) e-commerce is the development of trust on the side of the consumer. People develop trust in a business thr...
Michael A. Shepherd, Anil Dhonde, Carolyn R. Watte...
KDD
2008
ACM
209views Data Mining» more  KDD 2008»
16 years 2 days 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