Title
Learning user preferences in livestreaming market: A graphical model considering temporal effect
Authors
[ 1 ] School of Management Science and Engineering, Southwestern University of Finance and Economics, 555, Liutai Avenue, Wenjiang District, Chengdu, Sichuan, 611130, China | [ 2 ] School of Management and Economics, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan, 611731, China | [ 3 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ 4 ] Business School, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, 610065, China | [ P ] employee
Scientific discipline (Law 2.0)
Year of publication
2026
Published in
Article type
scientific article
Publication language
english
Keywords
Abstract
EN The livestreaming market has experienced rapid growth, making effective recommendation systems essential for enhancing user engagement and marketing strategies. Traditional models often fall short in simultaneously capturing user preferences, host popularity, and the temporal dynamics inherent in livestreaming platforms. To address these challenges, we propose an interpretable graphical model that integrates Poisson Factorization with hierarchical structures and explicit temporal effects. Our model jointly learns user preferences and host popularity while accounting for temporal variations. We develop a variational Bayesian inference algorithm for efficient parameter estimation. Using real-world data from a leading livestreaming platform, we demonstrate that our model outperforms several baseline methods in predicting viewing volumes and capturing user–host interactions before, during, and after a public vacation. Additionally, the learned low-dimensional representations enhance predictive tasks, such as payment behavior prediction, and enable effective profiling and segmentation of users and hosts. Our findings provide insights for decision-makers aiming to optimize recommendation systems and marketing strategies in the dynamic livestreaming market.
Date of online publication
05.01.2026
Pages (from - to)
114600-1 - 114600-16
Comments
Article Number: 114600
Ministry points / journal
140
System created by Poznań University of Technology
and Poznan Supercomputing and Networking Center
Log in through eKonto to add to SIS