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» Explaining collaborative filtering recommendations
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AAAI
2004
13 years 6 months ago
Exploring More Realistic Evaluation Measures for Collaborative Filtering
Collaborative filtering is a popular technique for recommending items to people. Several methods for collaborative filtering have been proposed in the literature and the quality o...
Giuseppe Carenini, Rita Sharma
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
13 years 7 months ago
A Hybrid Recommender System for Context-aware Recommendations of Mobile Applications
The goal of the work in this paper is towards the incorporation of context in recommender systems in the domain of mobile applications. The approach recommends mobile applications...
Wolfgang Wörndl, Christian Schüller, Rol...
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
ADAPTIVE
2007
Springer
13 years 11 months ago
Collaborative Filtering Recommender Systems
One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items th...
J. Ben Schafer, Dan Frankowski, Jonathan L. Herloc...
AAAI
2006
13 years 6 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek