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SciNet: a system for browsing scientific literature through keyword manipulation

Published: 19 March 2013 Publication History

Abstract

Techniques for both exploratory and known item search tend to direct only to more specific subtopics or individual documents, as opposed to allowing directing the exploration of the information space. We present SciNet, an interactive information retrieval system that combines Reinforcement Learning techniques along with a novel user interface design to allow active engagement of users in directing the search. Users can directly manipulate document features (keywords) to indicate their interests and Reinforcement Learning is used to model the user by allowing the system to trade off between exploration and exploitation. This gives users the opportunity to more effectively direct their search.

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References

[1]
Głowacka, D., Ruotsalo, T., Konyushkova, K., Athukorala, K., Kaski, S., and Jacucci, G. Directing exploratory search: Reinforcement learning from user interactions with keywords. In Proc. of IUI (2013).
[2]
Joachims, T., Freitag, D., and Mitchell, T. Webwatcher: A tour guide for the world wide web. In Proc. of IJCAI (1997).
[3]
Li, L., Chu, W., Langford, J., and Schapire, R. A contextual-bandit approach to personalized news article recommendation. In Proc. of WWW (2010).
[4]
Seo, Y., and Zhang, B. A reinforcement learning agent for personalized information filtering. In Proc. of IUI (2000), 248--251.
[5]
White, R. W., Bennett, P. N., and Dumais, S. T. Predicting short-term interests using activity-based search context. In Proc. of CIKM (2010).

Cited By

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  • (2022)An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web ContentIEEE Access10.1109/ACCESS.2022.317759710(56316-56330)Online publication date: 2022
  • (2016)Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data FrameworkIEEE Transactions on Big Data10.1109/TBDATA.2016.25573482:3(219-233)Online publication date: 1-Sep-2016

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  1. SciNet: a system for browsing scientific literature through keyword manipulation

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    cover image ACM Conferences
    IUI '13 Companion: Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companion
    March 2013
    140 pages
    ISBN:9781450319669
    DOI:10.1145/2451176

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 March 2013

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    Author Tags

    1. adaptive interfaces
    2. datamining and machine learning
    3. information retrieval
    4. recommender/filtering systems

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    IUI '13
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    IUI '13: 18th International Conference on Intelligent User Interfaces
    March 19 - 22, 2013
    California, Santa Monica, USA

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    Overall Acceptance Rate 746 of 2,811 submissions, 27%

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    View all
    • (2022)An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web ContentIEEE Access10.1109/ACCESS.2022.317759710(56316-56330)Online publication date: 2022
    • (2016)Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data FrameworkIEEE Transactions on Big Data10.1109/TBDATA.2016.25573482:3(219-233)Online publication date: 1-Sep-2016

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