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

页码：797 / 809

页数：13

共 50 条

[21] Personalized Query Expansion based on User Interest and Domain Knowledge
Xu Jianmin
Liu Chang
2012 THIRD GLOBAL CONGRESS ON INTELLIGENT SYSTEMS (GCIS 2012), 2012, : 394 - 399
[22] Research and construction of personalized user interest model for distance learning
Zhao, Jichun
Chen, Lei
Guo, Jianxin
2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2017, : 2324 - 2327
[23] A Personalized Recommendation Model with Time Series Fluctuation of User Interest
Hao D.
Wenhua A.
Guangwei H.
Shuqing L.
Wei S.
Guangwei, Hu (hugw@nju.edu.cn), 1600, Chinese Academy of Sciences (05): : 45 - 58
[24] The Design and Research of User Interest Model in Personalized Search Engine
Liu Dong-Fei
Duan Jian-Guo
2009 ASIA-PACIFIC CONFERENCE ON INFORMATION PROCESSING (APCIP 2009), VOL 2, PROCEEDINGS, 2009, : 639 - 642
[25] Research on Personalized Document Retrieval based on User Interest Model
Xu Li
Yang WeiZhong
PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 1771 - 1773
[26] Modeling and broadening temporal user interest in personalized news recommendation
Li, Lei
Zheng, Li
Yang, Fan
Li, Tao
EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (07) : 3168 - 3177
[27] User Perception on Personalized Explanation by Science Museum Docent Robot
Park, Jeyoung
Kim, Jeeyeon
Kim, Da-Young
Kim, Juhyun
Kim, Min-Gyu
Choi, Jihwan
Lee, WonHyong
PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), 2022, : 973 - 975
[28] Research on personalized recommendation algorithm based on ontological user interest model
Su, Zhenglian
Yan, Jun
Ling, Haifeng
Chen, Haisong
Journal of Computational Information Systems, 2012, 8 (01): : 169 - 181
[29] Automatic Generation of Personalized Comment Based on User Profile
Zeng, Wenhuan
Abuduweili, Abulikemu
Li, Lei
Yang, Pengcheng
57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019:): STUDENT RESEARCH WORKSHOP, 2019, : 229 - 235
[30] Personalized search results with user interest hierarchies learnt from bookmarks
Kim, Hyoung-rae
Chan, Philip K.
ADVANCES IN WEB MINING AND WEB USAGE ANALYSIS, 2006, 4198 : 158 - 176

← 1 2 3 4 5 →