Assessing and predicting vertical intent for web queries

Ke  Zhou; Ronan Cummins; Martin Halvey; Mounia Lalmas; Joemon M. Jose

doi:10.1007/978-3-642-28997-2_50

Assessing and predicting vertical intent for web queries

Ke Zhou, Ronan Cummins, Martin Halvey, Mounia Lalmas, Joemon M. Jose

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

Aggregating search results from a variety of heterogeneous sources, i.e. so-called verticals [1], such as news, image, video and blog, into a single interface has become a popular paradigm in web search. In this paper, we present the results of a user study that collected more than 1,500 assessments of vertical intent over 320 web topics. Firstly, we show that users prefer diverse vertical content for many queries and that the level of inter-assessor agreement for the task is fair [2]. Secondly, we propose a methodology to predict the vertical intent of a query using a search engine log by exploiting click-through data, and show that it outperforms traditional approaches.

Original language	English
Title of host publication	Advances in Information Retrieval
Subtitle of host publication	34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings
Publisher	Springer
Pages	499-502
Number of pages	4
ISBN (Electronic)	9783642289972
ISBN (Print)	9783642289965
DOIs	https://doi.org/10.1007/978-3-642-28997-2_50
Publication status	Published - 2012

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Berlin Heidelberg
Volume	7224
ISSN (Print)	0302-9743

Keywords

web searching
diverse vertical content
inter-assessor agreement
search engine log

Documents and Links

10.1007/978-3-642-28997-2_50

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Zhou, K., Cummins, R., Halvey, M., Lalmas, M., & Jose, J. M. (2012). Assessing and predicting vertical intent for web queries. In Advances in Information Retrieval: 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings (pp. 499-502). (Lecture Notes in Computer Science; Vol. 7224). Springer. https://doi.org/10.1007/978-3-642-28997-2_50

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Assessing and predicting vertical intent for web queries. / Zhou, Ke ; Cummins, Ronan; Halvey, Martin; Lalmas, Mounia; Jose, Joemon M.

Advances in Information Retrieval: 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings. Springer, 2012. p. 499-502 (Lecture Notes in Computer Science; Vol. 7224).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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