JOURNAL ARTICLE

HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation

Abstract

Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.

Keywords:
Computer science Computational linguistics Association (psychology) Joint (building) World Wide Web Natural language processing Information retrieval Artificial intelligence Engineering Philosophy

Metrics

73
Cited By
17.18
FWCI (Field Weighted Citation Impact)
43
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Graph Neural Networks
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

BOOK-CHAPTER

Personalized Micro-Video Recommendation via Hierarchical User Interest Modeling

Lei HuangBin Luo

Lecture notes in computer science Year: 2018 Pages: 564-574
JOURNAL ARTICLE

Modeling and broadening temporal user interest in personalized news recommendation

Lei LiZheng LiFan YangTao Li

Journal:   Expert Systems with Applications Year: 2013 Vol: 41 (7)Pages: 3168-3177
JOURNAL ARTICLE

User interest dynamics on personalized recommendation

Tian QiuChi WanXiaofan WangZi‐Ke Zhang

Journal:   Physica A Statistical Mechanics and its Applications Year: 2019 Vol: 525 Pages: 965-977
© 2026 ScienceGate Book Chapters — All rights reserved.