Code and Data Repository for Demands Satiated or Not? A Psychology-Informed Deep Probabilistic Approach to Offline Store Recommendations

This repository is the official implementation of the Dynamic Demand Satiation Model (DDSM), a psychology-informed deep probabilistic approach that incorporates demand satiation to enhance offline store recommendations. We provide the necessary resources to apply or extend DDSM to your research.

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2025-09-26
DOI
https://doi.org/10.1287/ijoc.2023.0403.cd
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Code and Data Repository for Demands Satiated or Not? A Psychology-Informed Deep Probabilistic Approach to Offline Store Recommendations

Jiangning He, Weikun Wu, Xiao Fang, Jiayi Guo
INFORMS journal on computing
Advanced Text Analysis Techniques
article

Code and Data Repository for Demands Satiated or Not? A Psychology-Informed Deep Probabilistic Approach to Offline Store Recommendations

Jiangning He, Weikun Wu, Xiao Fang, Jiayi Guo
article en

Abstract

This repository is the official implementation of the Dynamic Demand Satiation Model (DDSM), a psychology-informed deep probabilistic approach that incorporates demand satiation to enhance offline store recommendations. We provide the necessary resources to apply or extend DDSM to your research.

INFORMS journal on computing
Openalex Percentile: Top 86%
Advanced Text Analysis Techniques
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Code and Data Repository for Demands Satiated or Not? A Psychology-Informed Deep Probabilistic Approach to Offline Store Recommendations — Jiangning He, Weikun Wu, et al. · INFORMS journal on computing (2025) | TGRS Research Map | TGRS