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» Query quality: user ratings and system predictions
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SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 9 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
NIPS
2007
13 years 10 months ago
Probabilistic Matrix Factorization
Many existing approaches to collaborative filtering can neither handle very large datasets nor easily deal with users who have very few ratings. In this paper we present the Prob...
Ruslan Salakhutdinov, Andriy Mnih
EDBT
2009
ACM
121views Database» more  EDBT 2009»
14 years 1 months ago
MarcoPolo: a community system for sharing and integrating travel information on maps
The tagging technique has been widely applied in existing Web 2.0 systems, where users label resources with tags for effective classification and efficient retrieval of resource...
Yueguo Chen, Su Chen, Yu Gu, Mei Hui, Feng Li, Che...
SAINT
2006
IEEE
14 years 2 months ago
MAAY: A Decentralized Personalized Search System
This paper focuses on decentralized personalized search engines. It is composed of three parts. Firstly, we formulate the problem and we propose a graph-based measure of quality o...
Frederic Dang Ngoc, Joaquín Keller, Gwendal...
RECSYS
2010
ACM
13 years 9 months ago
Beyond accuracy: evaluating recommender systems by coverage and serendipity
When we evaluate the quality of recommender systems (RS), most approaches only focus on the predictive accuracy of these systems. Recent works suggest that beyond accuracy there i...
Mouzhi Ge, Carla Delgado-Battenfeld, Dietmar Janna...