Sciweavers

Share
SIGIR
2011
ACM

Time-based query performance predictors

7 years 9 months ago
Time-based query performance predictors
Query performance prediction is aimed at predicting the retrieval effectiveness that a query will achieve with respect to a particular ranking model. In this paper, we study query performance prediction for a ranking model that explicitly incorporates the time dimension into ranking. Different time-based predictors are proposed as analogous to existing keyword-based predictors. In order to improve predicting performance, we combine different predictors using linear regression and neural networks. Extensive experiments are conducted using queries and relevance judgments obtained by crowdsourcing. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval General Terms Algorithms, Experimentation, Performance Keywords Query performance prediction, Time-aware ranking
Nattiya Kanhabua, Kjetil Nørvåg
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where SIGIR
Authors Nattiya Kanhabua, Kjetil Nørvåg
Comments (0)
books