Personalized Headline Generation with Enhanced User Interest Perception

被引：5
|
作者：
Zhang, Kui [1 ]
Lu, Guangquan [1 ]
Zhang, Guixian [1 ]
Lei, Zhi [1 ]
Wu, Lijuan [1 ]
机构：
[1] Guangxi Normal Univ, Guangxi Key Lab Multi Source Informat Min & Secur, Guilin 541004, Peoples R China
来源：
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2022, PT II | 2022年 / 13530卷
关键词：
Personalized headline generation; News recommendation; Reinforcement learning;
D O I：
10.1007/978-3-031-15931-2_65
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Personalized news headline generation aims to model users interests through their news browsing history, and then generate news headlines based on their preferences. Using the user representation of existing news recommendation systems to personalize news headlines has been very successful, but there are still many problems to be solved. Firstly, news recommendation and headline generation tasks have different requirements for user interest modelling. Secondly, the user interest embedding approach does not consider the redundancy of user interests and the complementarity between user interests and candidate news texts. In this paper, we propose a new personalized headline generation framework to enhance the user interest perception. It can highlight user interests related to candidate texts for accurate embedding. We further offer to improve user interest representation using entity words in the news to meet the demand for news headline personalization. Extensive experiments show that our approach achieves better performance in headline generation tasks.
引用
收藏
页码：797 / 809
页数：13
相关论文
共 50 条
  • [1] Personalized News Headline Generation System with Fine-grained User Modeling
    Yao, Jiaohong
    2022 18TH INTERNATIONAL CONFERENCE ON MOBILITY, SENSING AND NETWORKING, MSN, 2022, : 581 - 585
  • [2] Personalized Seed URLs Generation Using User-interest Ontology
    Han, Baochuan
    Du, Yajun
    Wang, Chang
    Ren, Haodong
    Xu, Jing
    2012 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (ICAISC 2012), 2012, 12 : 7 - +
  • [3] Fact-Preserved Personalized News Headline Generation
    Yang, Zhao
    Lian, Junhong
    Ao, Xiang
    23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, ICDM 2023, 2023, : 1493 - 1498
  • [4] PENS: A Dataset and Generic Framework for Personalized News Headline Generation
    Ao, Xiang
    Wang, Xiting
    Luo, Ling
    Qiao, Ying
    He, Qing
    Xie, Xing
    59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1 (ACL-IJCNLP 2021), 2021, : 82 - 92
  • [5] User interest dynamics on personalized recommendation
    Qiu, Tian
    Wan, Chi
    Wang, Xiao-Fan
    Zhang, Zi-Ke
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 525 : 965 - 977
  • [6] Put Your Voice on Stage: Personalized Headline Generation for News Articles
    Ao, Xiang
    Luo, Ling
    Wang, Xiting
    Yang, Zhao
    Chen, Jiun-Hung
    Qiao, Ying
    He, Qing
    Xie, Xing
    ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2024, 18 (03)
  • [7] General then Personal: Decoupling and Pre-training for Personalized Headline Generation
    Song, Yun-Zhu
    Chen, Yi-Syuan
    Wang, Lu
    Shuai, Hong-Han
    TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, 2023, 11 : 1588 - 1607
  • [8] User Interest and Topic Detection for Personalized Recommendation
    Tang, Xuning
    Zhang, Mi
    Yang, Christopher C.
    2012 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT 2012), VOL 1, 2012, : 442 - 446
  • [9] Discusses of user interest model in Personalized Search
    Deng, Zhonghua
    Li, Zhen
    Zhao, Youlin
    2011 INTERNATIONAL CONFERENCE ON ECONOMIC, EDUCATION AND MANAGEMENT (ICEEM2011), VOL III, 2011, : 405 - 409
  • [10] Research on the User Interest Modeling of Personalized Search Engine
    LI Zhengwei
    WuhanUniversityJournalofNaturalSciences, 2007, (05) : 893 - 896
12345