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» Adaptive relevance feedback in information retrieval
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KDD
2006
ACM
167views Data Mining» more  KDD 2006»
14 years 9 months ago
Identifying "best bet" web search results by mining past user behavior
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
Eugene Agichtein, Zijian Zheng
ECIR
2008
Springer
13 years 10 months ago
Using Clicks as Implicit Judgments: Expectations Versus Observations
Abstract. Clickthrough data has been the subject of increasing popularity as an implicit indicator of user feedback. Previous analysis has suggested that user click behaviour is su...
Falk Scholer, Milad Shokouhi, Bodo Billerbeck, And...
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
13 years 7 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
WWW
2008
ACM
14 years 9 months ago
Personalized web exploration with task models
Personalized Web search has emerged as one of the hottest topics for both the Web industry and academic researchers. However, the majority of studies on personalized search focuse...
Jae-wook Ahn, Peter Brusilovsky, Daqing He, Jonath...
ISMIR
2005
Springer
134views Music» more  ISMIR 2005»
14 years 2 months ago
Dynamic Playlist Generation Based on Skipping Behavior
Common approaches to creating playlists are to randomly shuffle a collection (e.g. iPod shuffle) or manually select songs. In this paper we present and evaluate heuristics to ad...
Elias Pampalk, Tim Pohle, Gerhard Widmer