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Time-Aware Diversified Query Suggestion

Authors:

Xiaojuan Zhang,

Lin PengAuthors Info & Claims

JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries

Pages 399 - 400

https://doi.org/10.1145/3197026.3203901

Published: 23 May 2018 Publication History

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Abstract

In this paper, we study query suggestion diversi cation for time- aware queries, where query suggestions are diversified from multiple dimensions (e.g., topic and time). More precisely, we introduce the method of Time-aware Diversified Query Suggestion (TDQS) which ensures that the generated suggested queries indicate possible time points in which a searcher who issued the original query may be interested. Preliminary experiments on AOL query log demonstrate that our proposed method can significantly improve the diversity and relevance e ectiveness for time-aware queries in comparison with two state-of-the-art methods.

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Cited By

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Dehghani MBarenji SFarzi S(2023)DIPT: Diversified Personalized Transformer for QAC systems2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)10.1109/ICCKE60553.2023.10326229(019-023)Online publication date: 1-Nov-2023
https://doi.org/10.1109/ICCKE60553.2023.10326229

Index Terms

Time-Aware Diversified Query Suggestion
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
      1. Query suggestion

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Published In

JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries

May 2018

453 pages

ISBN:9781450351782

DOI:10.1145/3197026

General Chairs:
Jiangping Chen
College of Information, UNT, USA
,
Marcos André Gonçalves
, Brazil
,
Jeff M. Allen
College of Information, UNT, USA
,
Program Chairs:
Edward A. Fox
Virginia Tech, USA
,
Min-Yen Kan
National University of Singapore, Singapore
,
Vivien Petras
Humboldt-Universität zu Berlin, Germany

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 23 May 2018

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National Social Science Foundation of China under Grant

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JCDL '18

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JCDL '18: The 18th ACM/IEEE Joint Conference on Digital Libraries

June 3 - 7, 2018

Texas, Fort Worth, USA

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JCDL '18 Paper Acceptance Rate 26 of 71 submissions, 37%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Dehghani MBarenji SFarzi S(2023)DIPT: Diversified Personalized Transformer for QAC systems2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)10.1109/ICCKE60553.2023.10326229(019-023)Online publication date: 1-Nov-2023
https://doi.org/10.1109/ICCKE60553.2023.10326229

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Context-aware query suggestion by mining click-through and session data

Personalized Query Suggestion Diversification

Time-aware structured query suggestion

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