This study proposes a mixtures-of-experts model framework to examine the role of different reference products in consumer choice of multi-attribute products.
Understanding the process of consumer decision making is important for many decision support systems. Consumers evaluate different alternatives and then ...
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(2019). Incorporating reference products into modeling consumer choice decision: A mixtures-of-experts model (vol. 119, pp. 85-95) Decision Support Systems ...
Oct 22, 2024 · The paper pays special attention to empirical articles that incorporate reference points into consumer choice models and classifies the models.
Dec 5, 2020 · The paper pays special attention to empirical articles that incorporate reference points into consumer choice models and classifies the models.
Incorporating reference products into modeling consumer choice decision: A mixtures-of-experts model［J］. Decision Support Systems, 2019, 119: 85-95. ［48 ...
Modeling Loss Aversion and Reference Dependence Effects on ...
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Incorporating reference products into modeling consumer choice decision: A mixtures-of-experts model. Decision Support Systems, Vol. 119. Realization utility ...
Aug 21, 2024 · We propose a new research problem of modeling reference-dependent preferences from a data-driven perspective, and design a novel deep learning-based framework.
Jan 1, 1984 · Incorporating reference products into modeling consumer choice decision: A mixtures-of-experts model. Abstract. Understanding the process of ...
Jan 29, 2024 · In MoE, each 'expert' focuses on a different data segment or aspect, which provides a level of specialization unattainable by a single model.
Missing: consumer choice