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» Learning to rank query reformulations
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CLEF
2011
Springer
12 years 4 months ago
Simulation of Within-Session Query Variations Using a Text Segmentation Approach
Abstract. We propose a generative model for automatic query reformulations from an initial query using the underlying subtopic structure of top ranked retrieved documents. We addre...
Debasis Ganguly, Johannes Leveling, Gareth J. F. J...
CIKM
2009
Springer
13 years 11 months ago
Analyzing and evaluating query reformulation strategies in web search logs
Users frequently modify a previous search query in hope of retrieving better results. These modifications are called query reformulations or query refinements. Existing research h...
Jeff Huang, Efthimis N. Efthimiadis
ICASSP
2011
IEEE
12 years 8 months ago
Topic-sensitive interactive image object retrieval with noise-proof relevance feedback
One current direction to enhance the search accuracy in visual object retrieval is to reformulate the original query through (pseudo-)relevance feedback, which augments a query wi...
Jen-Hao Hsiao, Henry Chang
AIRWEB
2005
Springer
13 years 10 months ago
An Analysis of Factors Used in Search Engine Ranking
This paper investigates the influence of different page features on the ranking of search engine results. We use Google (via its API) as our testbed and analyze the result rankin...
Albert Bifet, Carlos Castillo, Paul-Alexandru Chir...
WWW
2007
ACM
14 years 5 months ago
Web projections: learning from contextual subgraphs of the web
Graphical relationships among web pages have been leveraged as sources of information in methods for ranking search results. To date, specific graphical properties have been used ...
Jure Leskovec, Susan T. Dumais, Eric Horvitz