Hashtag Recommendation
Hashtag Recommendation is a computational method that identifies and suggests relevant hashtags for user-generated content by analyzing contextual, semantic, and usage patterns within social media data.
88
Publications
3.7K
Citations
252
Authors
105
Institutions
Publications per year
2017–2026
48
Parents
88
Using topic models for Twitter hashtag recommendation
Fréderic Godin, Viktor Slavkovikj, Wesley De Neve et al. · 2013 · 205 citations
Computing, Computer Science, Natural Language Processing +13
#TagSpace: Semantic Embeddings from Hashtags
Jason Weston, Sumit Chopra, Keith Adams · 2014 · 171 citations
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105
Fudan University
Shanghai, China
9 h-index
32 publications
1.8K citations
Indian Institute of Technology Indore
Indore, India
4 h-index
11 publications
378 citations
Tsinghua University
Beijing, China
4 h-index
11 publications
501 citations
Singapore Management University
Singapore, Singapore
3 h-index
4 publications
141 citations
Western Norway University of Applied Sciences
Bergen, Norway
3 h-index
3 publications
79 citations

Harbin Institute of Technology
Harbin, China
3 h-index
7 publications
264 citations

Sidi Mohamed Ben Abdellah University
Fes, Morocco
3 h-index
7 publications
142 citations

SINTEF
Trondheim, Norway
3 h-index
3 publications
79 citations
1–8 of 105
4 publications · 114 citations
4
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Repository · 3 publications · 56 citations
3
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3 publications · 78 citations
3
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TKDE · 2 publications · 60 citations
2
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2 publications · 53 citations
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