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» Feature-Weighted User Model for Recommender Systems
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CHI
2010
ACM
14 years 2 months ago
Short and tweet: experiments on recommending content from information streams
More and more web users keep up with newest information through information streams such as the popular microblogging website Twitter. In this paper we studied content recommendat...
Jilin Chen, Rowan Nairn, Les Nelson, Michael Berns...
CIKM
2010
Springer
13 years 2 months ago
Exploiting hierarchical tags for context-awareness
Context-awareness for information retrieval is challenging problem as information about the users current situation is rarely available. If such information would be available, re...
Alan Said, Jérôme Kunegis, Ernesto Wi...
DEBU
2008
186views more  DEBU 2008»
13 years 8 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
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-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
IEEEARES
2008
IEEE
14 years 2 months ago
Experimental Demonstration of a Hybrid Privacy-Preserving Recommender System
Recommender systems enable merchants to assist customers in finding products that best satisfy their needs. Unfortunately, current recommender systems suffer from various privacy...
Esma Aïmeur, Gilles Brassard, José Man...
STAIRS
2008
169views Education» more  STAIRS 2008»
13 years 9 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer