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ERCIMDL
2010
Springer
163views Education» more  ERCIMDL 2010»
13 years 8 months ago
Determining Time of Queries for Re-ranking Search Results
Abstract. Recent work on analyzing query logs shows that a significant fraction of queries are temporal, i.e., relevancy is dependent on time, and temporal queries play an importan...
Nattiya Kanhabua, Kjetil Nørvåg
SIGIR
2002
ACM
13 years 7 months ago
Predicting query performance
We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. The resultin...
Stephen Cronen-Townsend, Yun Zhou, W. Bruce Croft
SIGIR
2012
ACM
11 years 10 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...
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
JCDL
2006
ACM
71views Education» more  JCDL 2006»
14 years 1 months ago
Using controlled query generation to evaluate blind relevance feedback algorithms
Currently in document retrieval there are many algorithms each with different strengths and weakness. There is some difficulty, however, in evaluating the impact of the test quer...
Chris Jordan, Carolyn R. Watters, Qigang Gao