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» Preference Networks: Probabilistic Models for Recommendation...
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SAC
2006
ACM
15 years 9 months ago
A privacy preserving web recommender system
In this paper we propose a recommender system that helps users to navigate though the Web by providing dynamically generated links to pages that have not yet been visited and are ...
Ranieri Baraglia, Claudio Lucchese, Salvatore Orla...
KDD
2008
ACM
209views Data Mining» more  KDD 2008»
16 years 4 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
15 years 7 months ago
Group Recommending: A methodological Approach based on Bayesian Networks
The problem of building Recommender Systems has attracted considerable attention in recent years, but most recommender systems are designed for recommending items for individuals....
Luis M. de Campos, Juan M. Fernández-Luna, ...
CDC
2010
IEEE
14 years 11 months ago
Preference elicitation in Fully Probabilistic Design of decision strategies
Any systematic decision-making design selects a decision strategy that makes the resulting closed-loop behaviour close to the desired one. Fully Probabilistic Design (FPD) describe...
Miroslav Kárný, Tatiana V. Guy
176
Voted
WWW
2011
ACM
14 years 10 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee