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Diversified query expansion using conceptnet

Published: 27 October 2013 Publication History

Abstract

Search result diversification (SRD) aims to select diverse documents from the search results in order to cover as many search intents as possible. A prerequisite is that the search results contain diverse documents. For this purpose, we investigate a new approach to SRD by diversifying the query. Expansion terms are selected from ConceptNet so as to cover as diverse aspects as possible. The experimental results on several TREC data sets show that our method can outperform the existing state-of-the-art approaches that do not diversify the query.

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  • (2023)Personalized Query Expansion with Contextual Word EmbeddingsACM Transactions on Information Systems10.1145/362498842:2(1-35)Online publication date: 11-Dec-2023
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    cover image ACM Conferences
    CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management
    October 2013
    2612 pages
    ISBN:9781450322638
    DOI:10.1145/2505515
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 27 October 2013

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    Author Tags

    1. conceptnet
    2. query expansion
    3. search result diversification

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    CIKM'13: 22nd ACM International Conference on Information and Knowledge Management
    October 27 - November 1, 2013
    California, San Francisco, USA

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    CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;
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    Cited By

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    • (2024)Diversity-aware strategies for static index pruningInformation Processing & Management10.1016/j.ipm.2024.10379561:5(103795)Online publication date: Sep-2024
    • (2023)Recent Query Reformulation Approaches for Information Retrieval System - A SurveyRecent Advances in Computer Science and Communications10.2174/266625581566622040409192016:1Online publication date: Jan-2023
    • (2023)Personalized Query Expansion with Contextual Word EmbeddingsACM Transactions on Information Systems10.1145/362498842:2(1-35)Online publication date: 11-Dec-2023
    • (2023)Search Result Diversification Using Query Aspects as BottlenecksProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615050(3040-3051)Online publication date: 21-Oct-2023
    • (2022)Towards Explainable Search ResultsProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3532067(669-680)Online publication date: 6-Jul-2022
    • (2022)Improving Document Ranking with Relevance-based Entity Embeddings2022 8th International Conference on Big Data and Information Analytics (BigDIA)10.1109/BigDIA56350.2022.9874119(186-192)Online publication date: 24-Aug-2022
    • (2022)A contemporary combined approach for query expansionMultimedia Tools and Applications10.1007/s11042-020-09172-281:24(35195-35221)Online publication date: 1-Oct-2022
    • (2022)UQSCM-RFD:  A query–knowledge interfacing approach for diversified query recommendation in semantic search based on river flow dynamics and dynamic user interactionNeural Computing and Applications10.1007/s00521-021-06404-w34:1(651-675)Online publication date: 1-Jan-2022
    • (2022)Comparative Analysis of Term Extraction and Selection Techniques for Query Reformulation Using PRFEmergent Converging Technologies and Biomedical Systems10.1007/978-981-16-8774-7_43(515-526)Online publication date: 24-Mar-2022
    • (2021)Semantic expansion to improve diversity in query formulation2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)10.1109/LA-CCI48322.2021.9769853(1-6)Online publication date: 2-Nov-2021
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