Hashtag recommendation for enhancing the popularity of social media posts

被引:0
|
作者
Purnadip Chakrabarti
Eish Malvi
Shubhi Bansal
Nagendra Kumar
机构
[1] Indian Institute of Technology Indore,
关键词
Hashtag recommendation; Popularity prediction; Social media analysis; Information spread; Data mining;
D O I
暂无
中图分类号
学科分类号
摘要
Social media has gained huge importance in our lives wherein there is an enormous demand of getting high social popularity. With the emergence of many social media platforms and an overload of information, attaining high popularity requires efficient usage of hashtags, which can increase the reachability of a post. However, with little awareness about using appropriate hashtags, it becomes the need of the hour to build an efficient system to recommend relevant hashtags which in turn can enhance the social popularity of a post. In this paper, we thus propose a novel method hashTag RecommendAtion for eNhancing Social popularITy to recommend context-relevant hashtags that enhance popularity. Our proposed method utilizes the trending nature of hashtags by using post keywords along with the popularity of users and posts. With the prevalent evaluation techniques of this field being quite unreliable and non-uniform, we have devised a novel evaluation algorithm that is more robust and reliable. The experimental results show that our proposed method significantly outperforms the current state-of-the-art methods.
引用
下载
收藏
相关论文
共 50 条
  • [1] Hashtag recommendation for enhancing the popularity of social media posts
    Chakrabarti, Purnadip
    Malvi, Eish
    Bansal, Shubhi
    Kumar, Nagendra
    SOCIAL NETWORK ANALYSIS AND MINING, 2023, 13 (01)
  • [2] Hashtag recommendation for multimodal microblog posts
    Gong, Yeyun
    Zhang, Qi
    Huang, Xuanjing
    NEUROCOMPUTING, 2018, 272 : 170 - 177
  • [3] Leveraging Hashtag Networks for Multimodal Popularity Prediction of Instagram Posts
    Liao, Yu-Yun
    LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2022, : 7191 - 7198
  • [4] A Sentiment and Topic Model with Timeslice, User and Hashtag for Posts on Social Media
    Xu, Kang
    Huang, Junheng
    Wu, Tianxing
    KNOWLEDGE GRAPH AND SEMANTIC COMPUTING: LANGUAGE, KNOWLEDGE, AND INTELLIGENCE, CCKS 2017, 2017, 784 : 59 - 65
  • [5] Phrase-based hashtag recommendation for microblog posts
    Yeyun GONG
    Qi ZHANG
    Xiaoying HAN
    Xuanjing HUANG
    Science China(Information Sciences), 2017, 60 (01) : 132 - 144
  • [6] Phrase-based hashtag recommendation for microblog posts
    Gong, Yeyun
    Zhang, Qi
    Han, Xiaoying
    Huang, Xuanjing
    SCIENCE CHINA-INFORMATION SCIENCES, 2017, 60 (01)
  • [7] Cross-Domain Hashtag Recommendation and Story Revelation in Social Media
    Badami, Mahsa
    Nasraoui, Olfa
    2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 4294 - 4303
  • [8] Feature Construction for Posts and Users Combined with LightGBM for Social Media Popularity Prediction
    He, Ziliang
    He, Zijian
    Wu, Jiahong
    Yang, Zhenguo
    PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19), 2019, : 2672 - 2676
  • [9] Enhancing social media post popularity prediction with visual content
    Jeong, Dahyun
    Son, Hyelim
    Choi, Yunjin
    Kim, Keunwoo
    JOURNAL OF THE KOREAN STATISTICAL SOCIETY, 2024, 53 (03) : 844 - 882
  • [10] Social Media: Hashtag #Futurista
    Chattharakul, Anyarat
    CONTEMPORARY SOUTHEAST ASIA, 2019, 41 (02): : 170 - 175