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IUI
2005
ACM
15 years 5 months ago
Improving proactive information systems
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such ...
Daniel Billsus, David M. Hilbert, Dan Maynes-Aminz...
WWW
2004
ACM
16 years 14 days ago
Shilling recommender systems for fun and profit
Recommender systems have emerged in the past several years as an effective way to help people cope with the problem of information overload. One application in which they have bec...
Shyong K. Lam, John Riedl
IJCSA
2006
92views more  IJCSA 2006»
14 years 11 months ago
Personalized Integration of Recommendation Methods for E-commerce
The hybrid system of personalized product recommendation in e-commerce, by integrating various methods, was presented in the paper. Each e-commerce user has assigned their own wei...
Przemyslaw Kazienko, Pawel Kolodziejski
UM
2009
Springer
15 years 4 months ago
History Dependent Recommender Systems Based on Partial Matching
Abstract. This paper focuses on the utilization of the history of navigation within recommender systems. It aims at designing a collaborative recommender based on Markov models rel...
Armelle Brun, Geoffray Bonnin, Anne Boyer
ICDM
2005
IEEE
126views Data Mining» more  ICDM 2005»
15 years 5 months ago
Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. Researchers have shown that attackers can manipulate a system’s reco...
Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Ch...