research-article

Query Expansion Based on a Feedback Concept Model for Microblog Retrieval

Authors:

Chong FengAuthors Info & Claims

WWW '17: Proceedings of the 26th International Conference on World Wide Web

Pages 559 - 568

https://doi.org/10.1145/3038912.3052710

Published: 03 April 2017 Publication History

Abstract

We tackle the problem of improving microblog retrieval algorithms by proposing a Feedback Concept Model for query expansion. In particular, we expand the query using knowledge information derived from Probase so that the expanded one could better reflect users' search intent, which allows for microblog retrieval at a concept-level, rather than term-level. In the proposed feedback concept model: (i) we mine the concept information implicit in short-texts based on the external knowledge bases; (ii) with the relevant concepts associated with short-texts, a mixture model is generated to estimate a concept language model; (iii) finally, we utilize the concept language model for query expansion. Moreover, we incorporate temporal prior into the proposed query expansion method to satisfy real-time information need. Finally, we test the generalization power of the feedback concept model on the TREC Microblog corpora. The experimental results demonstrate that the proposed model outperforms the previous methods for microblog retrieval significantly.

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Cited By

Wang YZhang XChen TZhang Y(2024)A Flexible Simplicity Enhancement Model for Knowledge Graph Completion TaskArtificial Intelligence10.1007/978-981-99-9119-8_27(298-309)Online publication date: 3-Feb-2024
https://doi.org/10.1007/978-981-99-9119-8_27
Wang YOuyang XGuo DZhu X(2023)MEGA: Meta-Graph Augmented Pre-Training Model for Knowledge Graph CompletionACM Transactions on Knowledge Discovery from Data10.1145/361737918:1(1-24)Online publication date: 16-Oct-2023
https://dl.acm.org/doi/10.1145/3617379
Wang YWang ZZhang HLiu Z(2023)Microblog Retrieval Based on Concept-Enhanced Pre-Training ModelACM Transactions on Knowledge Discovery from Data10.1145/355231117:3(1-32)Online publication date: 22-Feb-2023
https://dl.acm.org/doi/10.1145/3552311
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Index Terms

Query Expansion Based on a Feedback Concept Model for Microblog Retrieval
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
      1. Query intent

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Published In

cover image ACM Other conferences

WWW '17: Proceedings of the 26th International Conference on World Wide Web

April 2017

1678 pages

ISBN:9781450349130

General Chairs:
Rick Barrett
W3Events
,
Rick Cummings
Murdoch University
,
Program Chairs:
Eugene Agichtein
Emory University
,
Evgeniy Gabrilovich
Google Research

Copyright © 2017 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

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Published: 03 April 2017

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State Key Program of Joint Funds of the National Natural Science Foundation of China
National Basic Research Program of China

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WWW '17

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IW3C2

WWW '17: 26th International World Wide Web Conference

April 3 - 7, 2017

Perth, Australia

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WWW '17 Paper Acceptance Rate 164 of 966 submissions, 17%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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https://doi.org/10.1007/978-981-99-9119-8_27
Wang YOuyang XGuo DZhu X(2023)MEGA: Meta-Graph Augmented Pre-Training Model for Knowledge Graph CompletionACM Transactions on Knowledge Discovery from Data10.1145/361737918:1(1-24)Online publication date: 16-Oct-2023
https://dl.acm.org/doi/10.1145/3617379
Wang YWang ZZhang HLiu Z(2023)Microblog Retrieval Based on Concept-Enhanced Pre-Training ModelACM Transactions on Knowledge Discovery from Data10.1145/355231117:3(1-32)Online publication date: 22-Feb-2023
https://dl.acm.org/doi/10.1145/3552311
Zhu XWang YZhang YZhang X(2023)Leveraging Concept-Driven Pre-Training Model for Shot-Text Conceptualization Task2023 8th International Conference on Data Science in Cyberspace (DSC)10.1109/DSC59305.2023.00054(329-336)Online publication date: 18-Aug-2023
https://doi.org/10.1109/DSC59305.2023.00054
Li LWang YGuo XYuan LLi BXu S(2023)Short-Text Conceptualization Based on Hyper-Graph Learning and Multiple Prior KnowledgeSocial Media Processing10.1007/978-981-99-7596-9_8(104-117)Online publication date: 15-Nov-2023
https://doi.org/10.1007/978-981-99-7596-9_8
Ouyang XWang YLi QJu ZLiu CZhang Y(2023)Leverage Heterogeneous Graph Neural Networks for Short-Text ConceptualizationSocial Media Processing10.1007/978-981-99-7596-9_7(90-103)Online publication date: 15-Nov-2023
https://doi.org/10.1007/978-981-99-7596-9_7
Wang YOuyang XZhu XZhang H(2022)Concept Commons Enhanced Knowledge Graph RepresentationKnowledge Science, Engineering and Management10.1007/978-3-031-10983-6_32(413-424)Online publication date: 6-Aug-2022
https://dl.acm.org/doi/10.1007/978-3-031-10983-6_32
Pang WDuan R(2022)History-Aware Expansion and Fuzzy for Query ReformulationArtificial Intelligence10.1007/978-3-030-93049-3_19(227-238)Online publication date: 1-Jan-2022
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Fitzgerald Kde la Harpe AUys C(2021)The hybridised indexing method for research-based information retrievalJournal of Information Science10.1177/016555152199980049:2(319-334)Online publication date: 15-Mar-2021
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Wang YZhang HLiu ZZhou Q(2021)Hierarchical Concept-Driven Language ModelACM Transactions on Knowledge Discovery from Data10.1145/345116715:6(1-22)Online publication date: 19-May-2021
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