A Study of Collection-Based Features for Adapting the Balance Parameter in Pseudo Relevance Feedback

Abstract

Pseudo-relevance feedback (PRF) is an effective technique to improve the ad-hoc retrieval performance. For PRF methods, how to optimize the balance parameter between the original query model and feedback model is an important but difficult problem. Traditionally, the balance parameter is often manually tested and set to a fixed value across collections and… (More)
DOI: 10.1007/978-3-319-28940-3_21

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@inproceedings{Meng2015ASO, title={A Study of Collection-Based Features for Adapting the Balance Parameter in Pseudo Relevance Feedback}, author={Ye Meng and Peng Zhang and Dawei Song and Yuexian Hou}, booktitle={AIRS}, year={2015} }