Suggest what to tag: Recommending more precise hashtags based on users’ dynamic interests and streaming tweet content-Reference-Cited by-同舟云学术

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Suggest what to tag: Recommending more precise hashtags based on users’ dynamic interests and streaming tweet content

Published:2016-08 Issue: Volume:106 Page:196-205
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Jia,Xu Hua

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference41 articles.

1. User interests in social media sites: an exploration with micro-blogs;Banerjee,2009

2. Latent dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

3. Recommender systems survey;Bobadilla;Knowl.-Based Syst.,2013

4. Knowledge-based extraction of named entities.;Callan,2002

5. Online inference of topics with latent dirichlet allocation;Canini,2009

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1. An Image-Based Hashtag Recommendation System as a Social Media Workflow Tool;2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2022-12-23

2. The fluctuation analysis of public opinion energy: Modeling social group opinion base on the event of social networks;Intelligent Systems with Applications;2022-05

3. PAC-MAN: Multi-Relation Network in Social Community for Personalized Hashtag Recommendation;IEEE Access;2022

4. Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation;Decision Support Systems;2021-05

5. Research topics and trends of the hashtag recommendation domain;Scientometrics;2021-02-14

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