A Real-Time Eye Tracking Based Query Expansion Approach via Latent Topic Modeling

Chen, Yongqiang; Zhang, Peng; Song, Dawei and Wang, Benyou (2015). A Real-Time Eye Tracking Based Query Expansion Approach via Latent Topic Modeling. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, ACM, New York, pp. 1719–1722.

DOI: https://doi.org/10.1145/2806416.2806602

URL: http://dl.acm.org/citation.cfm?id=2806602&CFID=737...

Abstract

Formulating and reformulating reliable textual queries have been recognized as a challenging task in Information Retrieval (IR), even for experienced users. Most existing query expansion methods, especially those based on implicit relevance feedback, utilize the user's historical interaction data, such as clicks, scrolling and viewing time on documents, to derive a refined query model. It is further expected that the user's search experience would be largely improved if we could dig out user's latent query intention, in real-time, by capturing the user's current interaction at the term level directly. In this paper, we propose a real-time eye tracking based query expansion method, which is able to: (1) automatically capture the terms that the user is viewing by utilizing eye tracking techniques; (2) derive the user's latent intent based on the eye tracking terms and by using the Latent Dirichlet Allocation (LDA) approach. A systematic user study has been carried out and the experimental results demonstrate the effectiveness of our proposed methods.

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About

• Item ORO ID
• 44135
• Item Type
• Conference or Workshop Item
• ISBN
• 1-4503-3794-5, 978-1-4503-3794-6
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Not Set	2013CB329304	Chinese 973 Program
  Not Set	2014CB744604	Chinese 973 Program
  Not Set	2015AA015403	Chinese 863 Program
  Not Set	61272265	Natural Science Foundation of China
  Not Set	61402324	Natural Science Foundation of China
  Not Set	20130032120044	Research Fund for the Doctoral Program of Higher Education of China

• Keywords
• eye tracking; query expansion; real time; implicit relevance feedback; LDA
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2015 ACM
• Related URLs
• • http://www.cikm-2015.org/(Other)
  • http://dl.acm.org/citation.cfm?id=280641...(Other)
• Depositing User
• Dawei Song