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Evaluating Accuracy and Robustness Impacts of Power User Attacks on Collaborative Recommender Systems
Title
Evaluating Accuracy and Robustness Impacts of Power User Attacks on Collaborative Recommender Systems
Author
Seminario, Carlos
Date Created
2015
Subjects--Topical
Computer science, Information technology, Information science
Description
Online systems present users with a vast amount of information and product/service offerings. In order to deal with this type of information overload, many top online websites use recommender systems to provide users with a more personalized, and ...
Group modeling, recommendation and evaluation in collaborative filtering group-based recommender systems
Title
Group modeling, recommendation and evaluation in collaborative filtering group-based recommender systems
Author
Najjar, Nadia
Date Created
2015
Subjects--Topical
Computer science, Artificial intelligence
Description
As the field of recommender systems has grown, more and more attention has been focused on the need forsystems that provide and tailor recommendations to groups of users, as opposed to individuals. We have identified open issues in group-based rec...