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» A Time-Based Recommender System Using Implicit Feedback
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CIKM
2008
Springer
13 years 9 months ago
Tag data and personalized information retrieval
Researchers investigating personalization techniques for Web Information Retrieval face a challenge; that the data required to perform evaluations, namely query logs and clickthro...
Mark James Carman, Mark Baillie, Fabio Crestani
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
14 years 5 days ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng
MHCI
2009
Springer
14 years 2 months ago
Automatic mobile menu customization based on user operation history
Mobile devices are becoming more and more difficult to use due to the sheer number of functions now supported. In this paper, we propose a menu customization system that ranks fun...
Yusuke Fukazawa, Mirai Hara, Masashi Onogi, Hideto...
IUI
2005
ACM
14 years 1 months ago
Interfaces for networked media exploration and collaborative annotation
In this paper, we present our efforts towards creating interfaces for networked media exploration and collaborative annotation. The problem is important since online social networ...
Preetha Appan, Bageshree Shevade, Hari Sundaram, D...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 2 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel