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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
16 years 4 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
CIKM
2009
Springer
15 years 10 months ago
StereoTrust: a group based personalized trust model
Trust plays important roles in diverse decentralized environments, including our society at large. Computational trust models help to, for instance, guide users’ judgements in o...
Xin Liu, Anwitaman Datta, Krzysztof Rzadca, Ee-Pen...
SIGIR
2009
ACM
15 years 10 months ago
Query dependent pseudo-relevance feedback based on wikipedia
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
Yang Xu, Gareth J. F. Jones, Bin Wang
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
16 years 4 months ago
Mission-Based Navigational Behaviour Modeling for Web Recommender Systems
Web recommender systems anticipate the information needs of on-line users and provide them with recommendations to facilitate and personalize their navigation. There are many appro...
Osmar R. Zaïane, Jia Li, Robert Hayward
WWW
2001
ACM
16 years 4 months ago
Personalizing E-commerce applications with on-line heuristic decision making
This paper describes new technology based on on-line decision support for providing personalized customer treatments in web-based storefronts and information sites. The central im...
Vinod Anupam, Richard Hull, Bharat Kumar