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» Introduction to recommender systems
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78
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DL
2000
Springer
173views Digital Library» more  DL 2000»
15 years 2 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
SAC
2008
ACM
14 years 9 months ago
Whom should I trust?: the impact of key figures on cold start recommendations
Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evide...
Patricia Victor, Chris Cornelis, Ankur Teredesai, ...
101
Voted
INFOCOM
2011
IEEE
14 years 1 months ago
Bayesian-inference based recommendation in online social networks
—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Xiwang Yang, Yang Guo, Yong Liu
110
Voted
RECSYS
2009
ACM
15 years 4 months ago
Rating aggregation in collaborative filtering systems
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
74
Voted
HT
2003
ACM
15 years 3 months ago
"Common" web paths in a group adaptive system
In this paper we describe how we use a group of users’ accesses and interactions with web pages to discover and recommend relevant common navigation paths to other users. We col...
Maria Barra, Delfina Malandrino, Vittorio Scarano