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

Li, Jingfei; Zhao, Xiaozhao; Zhang, Peng and Song, Dawei (2018). Modeling multiple interactions with a Markov random field in query expansion for session search. Computational Intelligence, 34(1) pp. 345–362.

DOI: https://doi.org/10.1111/coin.12154

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.

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About

• Item ORO ID
• 52902
• Item Type
• Journal Item
• ISSN
• 1467-8640
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Chinese National Program on KeyBasic Research Project (973 Program)	2014CB744604	Not Set
  Chinese National Program on KeyBasic Research Project (973 Program)	013CB329304	Not Set
  Chinese 863 Program	2015AA015403	Not Set
  Not Set	U1636203	National Natural Science Foundation of China
  Not Set	61772363	National Natural Science Foundation of China
  Not Set	61272265	National Natural Science Foundation of China
  Not Set	61402324	National Natural Science Foundation of China
  Tianjin Research Program of Application Foundation and Advanced Technology	15JCQNJC41700	Not Set
  Research and Innovation Programme	721321	European Union Horizon 2020

• Keywords
• Markov random field; multiple interactions; query expansion; session search
• Academic Unit or 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)
• Copyright Holders
• © 2017 Wiley Periodicals, Inc.
• Depositing User
• Dawei Song