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

• Type: Journal
• Year: 2011
• Where: SIGIR
• Authors: Nattiya Kanhabua, Kjetil Nørvåg
• Keywords: Information Storage And Retrieval, Information Technology, Linear Regression, Relevance Judgments, SIGIR 2011