Modeling Users’ Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective

• DOI: 10.1609/aaai.v30i1.9980
• Publication Date: 2022-06-24T06:12:41Z
• Authors: Le Wu; Yong Ge; Qi Liu; Enhong Chen; Bai Long; Zhenya Huang
• Keywords: Homophily; Leverage (statistics); Social network (sociolinguistics)

Researchers have long converged that the evolution of a Social Networking Service (SNS) platform is driven by interplay between users' preferences (reflected in user-item consumption behavior) and social network structure user-user interaction behavior), with both kinds behaviors change from time to time. However, traditional approaches either modeled these two an isolated way or relied on static assumption SNS. Thus, it still unclear how do roles historical dynamic affect SNSs. Furthermore, can jointly modeling temporal SNSs benefit behavior prediction tasks?In this paper, we leverage underlying theories(i.e., influence homophily effect) investigate We propose probabilistic approach fuse theories for Thus our proposed model has explanatory ability predictive power. Experimental results real-world datasets demonstrate effectiveness model.