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Hashtag retrieval in a microblogging environment

Published: 19 July 2010 Publication History

Abstract

Microblog services let users broadcast brief textual messages to people who "follow" their activity. Often these posts contain terms called hashtags, markers of a post's meaning, audience, etc. This poster treats the following problem: given a user's stated topical interest, retrieve useful hashtags from microblog posts. Our premise is that a user interested in topic x might like to find hashtags that are often applied to posts about x. This poster proposes a language modeling approach to hashtag retrieval. The main contribution is a novel method of relevance feedback based on hashtags. The approach is tested on a corpus of data harvested from twitter.com.

References

[1]
K. Balog, L. Azzopardi, and M. de Rijke. A language modeling framework for expert finding. Inf. Process. Manage., 45(1):1--19, 2009.
[2]
C. Macdonald and I. Ounis. Using relevance feedback in expert search. Proc. of 29th European Conf. on Information Retrieval, Springer LNCS, 4425:431--443, 2007.
[3]
C. Zhai and J. Lafferty. Model-based feedback in the language modeling approach to information retrieval. In CIKM01: Proc. of the 10th Intl Conference on Information and Knowledge Management, pages 403--410, 2001.

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  • (2024)Hashtagging for Inclusion: Complex Identities in Singaporean Gay Men’s Social Representation on InstagramSocial Media + Society10.1177/2056305124126929910:3Online publication date: 12-Aug-2024
  • (2024)LLM-MHR: A LLM-Augmented Multimodal Hashtag Recommendation Algorithm2024 IEEE International Conference on Web Services (ICWS)10.1109/ICWS62655.2024.00100(810-821)Online publication date: 7-Jul-2024
  • (2024)A hybrid filtering for micro-video hashtag recommendation using graph-based deep neural networkEngineering Applications of Artificial Intelligence10.1016/j.engappai.2024.109417138(109417)Online publication date: Dec-2024
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  1. Hashtag retrieval in a microblogging environment

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    Published In

    cover image ACM Conferences
    SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
    July 2010
    944 pages
    ISBN:9781450301534
    DOI:10.1145/1835449
    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

    Publication History

    Published: 19 July 2010

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    Author Tags

    1. hashtag
    2. microblog
    3. relevance feedback
    4. twitter

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    SIGIR '10 Paper Acceptance Rate 87 of 520 submissions, 17%;
    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    Cited By

    View all
    • (2024)Hashtagging for Inclusion: Complex Identities in Singaporean Gay Men’s Social Representation on InstagramSocial Media + Society10.1177/2056305124126929910:3Online publication date: 12-Aug-2024
    • (2024)LLM-MHR: A LLM-Augmented Multimodal Hashtag Recommendation Algorithm2024 IEEE International Conference on Web Services (ICWS)10.1109/ICWS62655.2024.00100(810-821)Online publication date: 7-Jul-2024
    • (2024)A hybrid filtering for micro-video hashtag recommendation using graph-based deep neural networkEngineering Applications of Artificial Intelligence10.1016/j.engappai.2024.109417138(109417)Online publication date: Dec-2024
    • (2024)Determining Twitter Trending Hashtags and Sentiments Associated via Machine Learning ApproachesSN Computer Science10.1007/s42979-024-03387-y5:8Online publication date: 29-Oct-2024
    • (2023)A Neural Inference of User Social Interest for Item RecommendationData Science and Engineering10.1007/s41019-023-00225-88:3(223-233)Online publication date: 29-Aug-2023
    • (2023)Transnational Spaces of Digital Activism: Online Protests, Hashtag Culture, and Hysteria in Indian Digital SpacesThe Digital Popular in India10.1007/978-3-031-39435-5_3(35-53)Online publication date: 25-Nov-2023
    • (2023)A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social MediaDatabase Systems for Advanced Applications10.1007/978-3-031-30672-3_36(537-546)Online publication date: 14-Apr-2023
    • (2022)TAGNet: Triplet-Attention Graph Networks for Hashtag RecommendationIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2021.307459932:3(1148-1159)Online publication date: Mar-2022
    • (2022)Implementing Prioritized-Breadth-First-Search for Instagram Hashtag Recommendation2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)10.1109/Confluence52989.2022.9734217(66-70)Online publication date: 27-Jan-2022
    • (2022)Social media enables people-centric climate action in the hard-to-decarbonise building sectorScientific Reports10.1038/s41598-022-23624-912:1Online publication date: 17-Nov-2022
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