Topic model-based recommender systems and their applications to cold-start problems-Reference-Cited by-同舟云学术

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Topic model-based recommender systems and their applications to cold-start problems

Published:2022-09 Issue: Volume:202 Page:117129
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Kawai Mimu^ORCID,Sato Hiroyuki^ORCID,Shiohama Takayuki^ORCID

Funder

Japan Society for the Promotion of Science

Nanzan University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

1. Exchangeability and related topics;Aldous,1985

2. Asynchronous distributed learning of topic models;Asuncion,2008

3. Fab: Content-based, collaborative recommendation;Balabanović;Communications of the ACM,1997

4. Modeling annotated data;Blei,2003

5. Latent Dirichlet allocation;Blei;Journal of Machine Learning Research,2003

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2. A Topic Modeling Based on Prompt Learning;Electronics;2024-08-14

3. Multi-source information contrastive learning collaborative augmented conversational recommender systems;Complex & Intelligent Systems;2024-05-11

4. Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems;IEEE Access;2024

5. Personalized recommendation with hybrid feedback by refining implicit data;Expert Systems with Applications;2023-12

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