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Beyond QA: ‘Heuristic QA’ Strategies in JIMI

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Database Systems for Advanced Applications (DASFAA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13247))

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Abstract

JD Instant Messaging intelligence (JIMI) is an intelligent service robot designed for creating an innovative online shopping experience in E-commerce. We will introduce a framework that combines the ‘intelligent prediction’ and ‘user click’ to facilitate the user input and to format the user inputs as standard queries, which we call as ‘heuristic QA’. It consists of three strategies: intent prediction before user querying, query auto-completion during user querying and next query prediction after user querying. Until now about 1/3 user queries are from heuristic QA in JIMI, which significantly improves the user experience.

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Notes

  1. 1.

    https://www.jd.com/.

References

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Authors and Affiliations

  1. JD AI Research, Beijing, 100176, China

    Shuangyong Song, Bo Zou, Jianghua Lin, Xiaoguang Yu & Xiaodong He

Authors
  1. Shuangyong Song
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  2. Bo Zou
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  3. Jianghua Lin
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  4. Xiaoguang Yu
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  5. Xiaodong He
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Corresponding author

Correspondence to Shuangyong Song .

Editor information

Editors and Affiliations

  1. Indian Institute of Technology Kanpur, Kanpur, India

    Arnab Bhattacharya

  2. National University of Singapore, Singapore, Singapore

    Janice Lee Mong Li

  3. University of California, Santa Barbara, Santa Barbara, CA, USA

    Divyakant Agrawal

  4. IIIT Hyderabad, Hyderabad, India

    P. Krishna Reddy

  5. Indraprastha Institute of Information Technology Delhi, New Delhi, India

    Mukesh Mohania

  6. Ashoka University, Sonepat, Haryana, India

    Anirban Mondal

  7. Indraprastha Institute of Information Technology Delhi, New Delhi, India

    Vikram Goyal

  8. University of Aizu, Aizu, Japan

    Rage Uday Kiran

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Song, S., Zou, B., Lin, J., Yu, X., He, X. (2022). Beyond QA: ‘Heuristic QA’ Strategies in JIMI. In: Bhattacharya, A., et al. Database Systems for Advanced Applications. DASFAA 2022. Lecture Notes in Computer Science, vol 13247. Springer, Cham. https://doi.org/10.1007/978-3-031-00129-1_36

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  • DOI: https://doi.org/10.1007/978-3-031-00129-1_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-00128-4

  • Online ISBN: 978-3-031-00129-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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