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» Recommendation Systems: A Probabilistic Analysis
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FOCS
1998
IEEE
13 years 8 months ago
Recommendation Systems: A Probabilistic Analysis
A recommendation system tracks past actions of a group of users to make recommendations toindividualmembersofthe group. The growth ofcomputer-mediatedmarketingandcommerce has led ...
Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopala...
CIKM
2008
Springer
13 years 6 months ago
SoRec: social recommendation using probabilistic matrix factorization
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
AAAI
2006
13 years 6 months ago
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
SIGIR
2009
ACM
13 years 11 months ago
Learning to recommend with social trust ensemble
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
Hao Ma, Irwin King, Michael R. Lyu
ITCC
2005
IEEE
13 years 10 months ago
A Web Recommendation System Based on Maximum Entropy
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
Xin Jin, Bamshad Mobasher, Yanzan Zhou