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...
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...
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...
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...
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...