research-article

Earn More Social Attention: User Popularity Based Tag Recommendation System

Authors:

Xueting Wang,

Yiwei Zhang,

Toshihiko YamasakiAuthors Info & Claims

WWW '20: Companion Proceedings of the Web Conference 2020

Pages 212 - 216

https://doi.org/10.1145/3366424.3383543

Published: 20 April 2020 Publication History

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Abstract

Enhancing social popularity of a post (i.e., the number of views or likes) on social network services is important for both ordinary users and companies who want to promote themselves. In this paper, we have implemented an online tagging support system to achieve this using an algorithm that recommends appropriate hashtags considering not only content popularity but also user popularity. The effectiveness of this technology has been verified by actually uploading photos with recommended hashtags on a real social network service.

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Xueting Wang, Yiwei Zhang, and Toshihiko Yamasaki. 2019. User-Aware Folk Popularity Rank: User-Popularity-Based Tag Recommendation That Can Enhance Social Popularity. In Proceedings of the 27th ACM International Conference on Multimedia(ACMMM). 1970–1978.

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Cited By

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Bansal SGowda KRehman MRaghaw CKumar N(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
https://doi.org/10.1016/j.engappai.2024.109417
Jafari Sadr MMirtaheri SGreco SBorna K(2023)Popular Tag Recommendation by Neural Network in Social MediaComputational Intelligence and Neuroscience10.1155/2023/43004082023(1-13)Online publication date: 29-May-2023
https://doi.org/10.1155/2023/4300408
Chaimalas IWalker DGruppi EClark BToni L(2023)Bootstrapped Personalized Popularity for Cold Start Recommender SystemsProceedings of the 17th ACM Conference on Recommender Systems10.1145/3604915.3608820(715-722)Online publication date: 14-Sep-2023
https://dl.acm.org/doi/10.1145/3604915.3608820
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Index Terms

Earn More Social Attention: User Popularity Based Tag Recommendation System
1. Human-centered computing
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Information extraction
  2. World Wide Web

Index terms have been assigned to the content through auto-classification.

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Published In

WWW '20: Companion Proceedings of the Web Conference 2020

April 2020

854 pages

ISBN:9781450370240

DOI:10.1145/3366424

Editors:
Amal El Fallah Seghrouchni
Sorbonne University, France
,
Gita Sukthankar
University of Central Florida, United States
,
Tie-Yan Liu
Microsoft Research Asia, China
,
Maarten van Steen
University of Twente, Netherlands

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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Association for Computing Machinery

New York, NY, United States

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Published: 20 April 2020

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WWW '20: The Web Conference 2020

April 20 - 24, 2020

Taipei, Taiwan

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Bansal SGowda KRehman MRaghaw CKumar N(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
https://doi.org/10.1016/j.engappai.2024.109417
Jafari Sadr MMirtaheri SGreco SBorna K(2023)Popular Tag Recommendation by Neural Network in Social MediaComputational Intelligence and Neuroscience10.1155/2023/43004082023(1-13)Online publication date: 29-May-2023
https://doi.org/10.1155/2023/4300408
Chaimalas IWalker DGruppi EClark BToni L(2023)Bootstrapped Personalized Popularity for Cold Start Recommender SystemsProceedings of the 17th ACM Conference on Recommender Systems10.1145/3604915.3608820(715-722)Online publication date: 14-Sep-2023
https://dl.acm.org/doi/10.1145/3604915.3608820
Li LWang PZheng XXie QTao XVelásquez J(2023)Dual-interactive fusion for code-mixed deep representation learning in tag recommendationInformation Fusion10.1016/j.inffus.2023.10186299(101862)Online publication date: Nov-2023
https://doi.org/10.1016/j.inffus.2023.101862
Chakrabarti PMalvi EBansal SKumar N(2023)Hashtag recommendation for enhancing the popularity of social media postsSocial Network Analysis and Mining10.1007/s13278-023-01024-913:1Online publication date: 11-Jan-2023
https://doi.org/10.1007/s13278-023-01024-9
Ifada NUmmamah Kautsar MBudi AAdinugroho S(2020)Hybrid popularity model for solving cold-start problem in recommendation systemProceedings of the 5th International Conference on Sustainable Information Engineering and Technology10.1145/3427423.3427425(40-44)Online publication date: 16-Nov-2020
https://dl.acm.org/doi/10.1145/3427423.3427425

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User-Aware Folk Popularity Rank: User-Popularity-Based Tag Recommendation That Can Enhance Social Popularity

Social Popularity Score: Predicting Numbers of Views, Comments, and Favorites of Social Photos Using Only Annotations

Mining tweets for tag recommendation on social media

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