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Comparing Two Strategies for Query Expansion in a News Monitoring System

  • Parvaz Mahdabi
  • Andrei Popescu-Belis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9612)

Abstract

In this paper, we study query expansion strategies that improve the relevance of retrieved documents in a news and social media monitoring system, which performs real-time searches based on complex queries. We propose a two-step retrieval strategy using textual features such as bi-gram word dependencies, proximity, and expansion terms. We compare two different methods for query expansion: (1) based on word co-occurrence information; (2) using semantically-related expansion terms. We evaluate our methods and compare them with the baseline version of the system by crowdsourcing user-centric tasks. The results show that word co-occurrence outperforms semantic query expansion, and improves over the baseline in terms of relevance and utility.

Keywords

Query analysis Query expansion Web IR and social media search 

Notes

Acknowledgments

This work was funded by the Swiss Commission for Technology and Innovation.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Idiap Research InstituteMartignySwitzerland

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