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A survey on tag recommendation methods

  • Published:2016-12-21 Issue:4 Volume:68 Page:830-844
  • ISSN:2330-1635
  • Container-title:Journal of the Association for Information Science and Technology
  • language:en
  • Short-container-title:Journal of the Association for Information Science and Technology

Author:

Belém Fabiano M.1,Almeida Jussara M.1,Gonçalves Marcos A.1

Affiliation:

1. Department of Computer Science; Federal University of Minas Gerais, Av. Antônio Carlos 6627, CEP 31270-010; Belo Horizonte - MG Brazil

Funder

Google

the Brazilian National Institute of Science and Technology for Web Research

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Cited by 49 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tagging Items with Emerging Tags: A Neural Topic Model Based Few-Shot Learning Approach;ACM Transactions on Information Systems;2024-03-22

2. A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation;IEEE Access;2024

3. Enhancing User Experiences: Evaluating Movie Recommendation Algorithms in Dynamic Environments;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

4. Deep feature fusion‐based stacked denoising autoencoder for tag recommendation systems;IET Cyber-Systems and Robotics;2023-08-26

5. Research on Personalized Video Matching Algorithm Based on Implicit Feature Transfer and PTransE;IEEJ Transactions on Electrical and Electronic Engineering;2023-07-23
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