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IJCAI
2003
15 years 3 months ago
Improving the Performance of Recommender Systems That Use Critiquing
Personalization actions that tailor the Web experience to a particular user are an integral component of recommender systems. Here, product knowledge - either hand-coded or “mine...
Lorraine McGinty, Barry Smyth
84
Voted
SMC
2010
IEEE
166views Control Systems» more  SMC 2010»
15 years 7 days ago
A system to recommend dishes by the real time recognition of dining activity
— Enhancement of dining environment by information technology is explored in this paper. A table system to recommend additional dishes according to the dining status is introduce...
Tomoo Inoue, Yosuke Matsusaka
123
Voted
JCP
2006
117views more  JCP 2006»
15 years 1 months ago
Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered o...
Karen H. L. Tso, Lars Schmidt-Thieme
129
Voted
UM
2007
Springer
15 years 8 months ago
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
Users’ critiques to the current recommendation form a crucial feedback mechanism for refining their preference models and improving a system’s accuracy in recommendations that ...
Li Chen, Pearl Pu
100
Voted
ECAI
2008
Springer
15 years 3 months ago
Probabilistic Reinforcement Rules for Item-Based Recommender Systems
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
Sylvain Castagnos, Armelle Brun, Anne Boyer