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On Structures of Inverted Index for Query Processing Efficiency Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Knowledge-Based Query Expansion in Real-Time Microblog Search

Authors : Chao Lv, Runwei Qiang, Feifan Fan, Jianwu Yang

Published in: Information Retrieval Technology

Publisher: Springer International Publishing

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Abstract

Since the length of microblog texts, such as tweets, is strictly limited to 140 characters, traditional Information Retrieval techniques usually suffer severely from the vocabulary mismatch problem such that they cannot yield good performance in the context of microblogosphere. To address this critical challenge, in this paper, we propose a new language modeling approach for microblog retrieval by inferring various types of context information. In particular, we expand the query using knowledge terms derived from Freebase so that the expanded one can better reflect the information need. Besides, in order to further answer users’ real-time information need, we incorporate temporal evidences into the expansion methods so that the proposed approach can boost recent tweets in the retrieval results with respect to a given topic. Experimental results on two official TREC Twitter corpora demonstrate the significant superiority of our approach over baseline methods.

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Footnotes
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Metadata
Title
Knowledge-Based Query Expansion in Real-Time Microblog Search
Authors
Chao Lv
Runwei Qiang
Feifan Fan
Jianwu Yang
Copyright Year
2015
Book
Information Retrieval Technology

Print ISBN: 978-3-319-28939-7

Electronic ISBN: 978-3-319-28940-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-28940-3_4