What is it about?
MFS-LDA proposes tags for the cold start problem (where existing tags are not available). It is based on Latent Dirichlet Allocation.
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Why is it important?
MFS-LDA can recommend tags for the cold start problem. In case when existing tags are not available for recommendation.
Perspectives
MFS-LDA uses multiple features, like title, contents, and tags (if available) to learn a model which can be used to recommend tags.
Rabeeh Abbasi
King Abdulaziz University
Read the Original
This page is a summary of: MFS-LDA: a multi-feature space tag recommendation model for cold start problem, Program electronic library and information systems, September 2017, Emerald,
DOI: 10.1108/prog-01-2017-0002.
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