Active Machine Learning for Consideration Heuristics-Reference-Cited by-同舟云学术

Active Machine Learning for Consideration Heuristics

Published:2011-09 Issue:5 Volume:30 Page:801-819
ISSN:0732-2399
Container-title:Marketing Science
language:en
Short-container-title:Marketing Science

Author:

Dzyabura Daria,Hauser John R.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Marketing,Business and International Management

Link

https://pubsonline.informs.org/doi/pdf/10.1287/mksc.1110.0660

Reference48 articles.

1. Improving Parameter Estimates and Model Prediction by Aggregate Customization in Choice Experiments

2. Attias H., Laskey K. B., Prade H. Inferring parameters and structure of latent variable models by variational BayesProc. 15th Conf. Uncertainty Artificial Intelligence (UAI-99)(1999) San FranciscoMorgan Kaufmann2130

3. Breese J. S., Heckerman D., Kadie C. Empirical analysis of predictive algorithms for collaborative filteringProc. 14th Conf. Uncertainty Artificial Intelligence (UAI-98)(1998) San FranciscoMorgan Kaufmann4352

4. Bayesian Experimental Design: A Review

Cited by 70 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Preference Measurement with Unstructured Data;Management Science;2024-08-28

2. Simulated maximum likelihood estimation of the sequential search model;Quantitative Marketing and Economics;2024-05-29

3. FinTech Can Prevent the Formation of Zombie Firms: Evidence from China;Social Sciences in China;2024-01-02

4. Probabilistic Machine Learning: New Frontiers for Modeling Consumers and their Choices;SSRN Electronic Journal;2024

5. A model validation of robo-advisers for stock investment;Borsa Istanbul Review;2023-11