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

Hongke Zhao et al.

INFORMS Journal on Computing2026https://doi.org/10.1287/ijoc.2025.1179.cdarticle
AJG 3ABDC A
Weight
0.37

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.

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https://doi.org/https://doi.org/10.1287/ijoc.2025.1179.cd

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@article{hongke2026,
  title        = {{Code and Data Repository for Rational or Emotional? Next-item Recommendations in Virtual Games via Disentangling Players' Needs}},
  author       = {Hongke Zhao et al.},
  journal      = {INFORMS Journal on Computing},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1287/ijoc.2025.1179.cd},
}

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

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.