Multi-role social behavior modeling in content-free news recommendation

Zhang, Yihong; Hara, Takahiro

World Wide Web, 2025, 28, 33

Number of Access:41（2025-08-14 06:16 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/102243

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Title
Multi-role social behavior modeling in content-free news recommendation
Creator
ORCID
0000-0002-4758-9911 0000-0002-4758-9911
researchmap permalink
yihongzhang yihongzhang
Scopus Author ID
55898015500 55898015500
CreatorName
Zhang, Yihong
NRID
1000020294043 1000020294043
ORCID
0000-0003-4807-3156 0000-0003-4807-3156
researchmap permalink
hara-osakau hara-osakau
Scopus Author ID
7404213547 7404213547
CreatorName
Hara, Takahiro
Subject
News recommendation
Social recommendation
User behavior modeling
Description
The version of record of this article, first published in World Wide Web, is available online at Publisher’s website: https://doi.org/10.1007/s11280-025-01345-z.
Abstract
Recommendation systems nowadays are deployed everywhere to solve the information overload problem. Thousands of news items that appear on online news platforms also need recommendations. However, news recommendation differs from product recommendation because of its focus on public interest. In this paper, we propose a multi-role social behavior model that includes a chaser model, which describes behavior patterns of chasing popular news, and a sider model, which describes behavior patterns of seeking news from a similar ideology standpoint. We propose a framework that integrates this model into a graph-based recommendation system. Unlike other intent disentangling techniques, our model explicit models social behavior patterns originated from public interest. We test our framework with two real-world news recommendation datasets. Compared to state-of-the-art baseline news recommendation models, our method achieves significantly higher recommendation accuracy. By analyzing the model outputs, we also gain a better understanding of news-seeking social behavior.
Publisher
Springer
Source Title
World Wide Web
Volume (Issue)
28
Page
33
Date of Issued
2025-05-05
Language
English
Handle URL
https://hdl.handle.net/11094/102243
PISSN
1386145X
eISSN
15731413
Relation.isIdenticalTo
DOI (Publisher Version)
https://doi.org/10.1007/s11280-025-01345-z
Access Rights
open access
CopyRight
This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version
Version of Record
Category
学術雑誌論文 Journal Article