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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 7 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
CONTEXT
2007
Springer
14 years 1 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
AVI
2008
13 years 8 months ago
Query-through-drilldown: data-oriented extensional queries
Traditional database query formulation is intensional: at the level of schemas, table and column names. Previous work has shown that filters can be created using a query paradigm ...
Alan J. Dix, Damon Oram
SIGIR
1997
ACM
13 years 11 months ago
Image Retrieval by Hypertext Links
This paper presents a model for retrieval of images from a large World Wide Web based collection. Rather than considering complex visual recognition algorithms, the model presente...
V. Harmandas, Mark Sanderson, Mark D. Dunlop
WWW
2010
ACM
14 years 2 months ago
Optimal rare query suggestion with implicit user feedback
Query suggestion has been an effective approach to help users narrow down to the information they need. However, most of existing studies focused on only popular/head queries. Si...
Yang Song, Li-wei He