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Artificial Intelligence in GamesDigital Games and MediaRecommender Systems and Techniques

Code and Data Repository for Rational or Emotional? Next-item Recommendations in Virtual Games via Disentangling Players' Needs

Hongke Zhao, Chuang Zhao, Runze Wu, Yong Ge

2026.1.27INFORMS JOURNAL ON COMPUTING

DOI: 10.1287/ijoc.2025.1179.cd

tlooto Summary

This work decoupling purchase sequences into two heterogeneous motivations to be modeled, i.e., rational needs and emotional needs, based on data observations and consumption motivation theory, makes a contribution to the game recommendation literature.

Abstract

We make a contribution to the game recommendation literature by decoupling purchase sequences into two heterogeneous motivations to be modeled, i.e., rational needs and emotional needs, based on data observations and consumption motivation theory.

Citation format

ZHAO, Hongke, et al. Code and data repository for rational or emotional? Next-item recommendations in virtual games via disentangling players' needs. INFORMS JOURNAL ON COMPUTING, 2026.