☆ 4.6 Article

Textual tag recommendation with multi-tag topical attention

NEUROCOMPUTING (2023)

Related references

Note: Only part of the references are listed.

Article Computer Science, Artificial Intelligence

A deep learning based trust- and tag-aware recommender system

Sajad Ahmadian et al.

Summary: This article introduces a new method that uses deep neural networks to address the issues of data sparsity and computational complexity in recommender systems. The method utilizes sparse autoencoders to extract latent features and predicts recommendations by calculating similarity values. Experimental results demonstrate its superiority over existing recommender systems.

NEUROCOMPUTING (2022)

Add to Collection

Proceedings Paper Computer Science, Software Engineering

PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models

Junda He et al.

Summary: This article introduces PTM4Tag, a framework for tag recommendation that utilizes pre-trained language models. By independently modeling the title, description, and code of Stack Overflow posts, and using a software engineering domain-specific pre-trained model CodeBERT, PTM4Tag achieves the best performance. The results show that the title is the most important component in predicting relevant tags.

30TH IEEE/ACM INTERNATIONAL CONFERENCE ON PROGRAM COMPREHENSION (ICPC 2022) (2022)

Add to Collection

Article Computer Science, Information Systems

A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data

Min Shi et al.

Summary: This paper presents a topic-sensitive approach for mashup tag recommendation, utilizing various relationship types and Factorization Machines to enhance recommendation performance. Experimental results demonstrate that this method outperforms several state-of-the-art approaches.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2021)

Add to Collection

Article Computer Science, Information Systems

Hierarchical attention model for personalized tag recommendation

Jianshan Sun et al.

Summary: This study introduces a personalized tag recommendation method based on multi-information, which integrates different elements and information using a hierarchical attention model. Experimental results demonstrate that this approach can significantly enhance the performance of recommendation models.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Tag recommendation by text classification with attention-based capsule network

Kai Lei et al.

NEUROCOMPUTING (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

TNAM: A tag-aware neural attention model for Top-N recommendation

Ruoran Huang et al.

NEUROCOMPUTING (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

AIRec: Attentive intersection model for tag-aware recommendation

Bo Chen et al.

NEUROCOMPUTING (2020)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Automatic Question Tagging with Deep Neural Networks

Bo Sun et al.

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES (2019)

Add to Collection

Proceedings Paper Computer Science, Theory & Methods

STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints

Jingyue Gao et al.

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19) (2019)

Add to Collection

Proceedings Paper Computer Science, Theory & Methods

Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network

Mengmeng Li et al.

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19) (2019)

Add to Collection

Proceedings Paper Computer Science, Interdisciplinary Applications

Personalized Hashtag Recommendation for Micro-videos

Yinwei Wei et al.

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19) (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Guiding supervised topic modeling for content based tag recommendation

Yong Wu et al.

NEUROCOMPUTING (2018)

Add to Collection

Proceedings Paper Computer Science, Artificial Intelligence

Semantic-based Tag Recommendation in Scientific Bookmarking Systems

Hebatallah A. Mohamed Hassan et al.

12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS) (2018)

Add to Collection

Article Computer Science, Information Systems

A Survey on Tag Recommendation Methods

Fabiano M. Belem et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2017)

Add to Collection

Proceedings Paper Computer Science, Information Systems

Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation

Yong Wu et al.

CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (2016)

Add to Collection

© Peeref 2019-2024. All rights reserved.