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» An Information Retrieval Approach to Sense Ranking
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SIGIR
2012
ACM
11 years 11 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
ADBIS
2008
Springer
219views Database» more  ADBIS 2008»
14 years 2 months ago
Data Stream Analysis for Location-Aware Collaborative Information Retrieval
Abstract. We propose a new approach for enhancing collaborative information retrieval by means of incorporating positional data for a location-aware personalized retrieval process....
Andreas Behrend, Frank Reichartz, Christian Dorau,...
WWW
2007
ACM
14 years 9 months ago
Supervised rank aggregation
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
Yu-Ting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Han...
GIR
2007
ACM
14 years 11 days ago
Spatial filters for mobile information retrieval
This paper introduces the concept of spatial filters as an approach to increasing the relevance of the information retrieved by users of mobile information systems. This approach ...
David M. Mountain
WWW
2008
ACM
14 years 9 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...