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Modeling multiple interactions with a Markov random field in query expansion for session search

Li, Jingfei; Zhao, Xiaozhao; Zhang, Peng and Song, Dawei (2017). Modeling multiple interactions with a Markov random field in query expansion for session search. Computational Intelligence (Early Access).

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DOI (Digital Object Identifier) Link: https://doi.org/10.1111/coin.12154
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Abstract

How to automatically understand and answer users' questions (eg, queries issued to a search engine) expressed with natural language has become an important yet difficult problem across the research fields of information retrieval and artificial intelligence. In a typical interactive Web search scenario, namely, session search, to obtain relevant information, the user usually interacts with the search engine for several rounds in the forms of, eg, query reformulations, clicks, and skips. These interactions are usually mixed and intertwined with each other in a complex way. For the ideal goal, an intelligent search engine can be seen as an artificial intelligence agent that is able to infer what information the user needs from these interactions. However, there still exists a big gap between the current state of the art and this goal. In this paper, in order to bridge the gap, we propose a Markov random field–based approach to capture dependence relations among interactions, queries, and clicked documents for automatic query expansion (as a way of inferring the information needs of the user). An extensive empirical evaluation is conducted on large-scale web search data sets, and the results demonstrate the effectiveness of our proposed models.

Item Type: Journal Item
Copyright Holders: 2017 Wiley Periodicals, Inc.
ISSN: 1467-8640
Project Funding Details:
Funded Project NameProject IDFunding Body
Chinese National Program on KeyBasic Research Project (973 Program)2014CB744604Not Set
Chinese National Program on KeyBasic Research Project (973 Program)013CB329304Not Set
Chinese 863 Program2015AA015403Not Set
Not SetU1636203National Natural Science Foundation of China
Not Set61772363National Natural Science Foundation of China
Not Set61272265National Natural Science Foundation of China
Not Set61402324National Natural Science Foundation of China
Tianjin Research Program of Application Foundation and Advanced Technology15JCQNJC41700Not Set
Research and Innovation Programme721321European Union Horizon 2020
Keywords: Markov random field; multiple interactions; query expansion; session search
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 52902
Depositing User: Dawei Song
Date Deposited: 16 Jan 2018 11:02
Last Modified: 16 Feb 2018 11:50
URI: http://oro.open.ac.uk/id/eprint/52902
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