A case study of behavior-driven conjoint analysis on Yahoo!

Author:

Chu Wei,Park Seung-Taek,Beaupre Todd,Motgi Nitin,Phadke Amit,Chakraborty Seinjuti,Zachariah Joe

Publisher

ACM Press

Cited by 17 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. Examining the merits of feature-specific similarity functions in the news domain using human judgments;User Modeling and User-Adapted Interaction;2024-08-07

2. Shaping the Future of Content-based News Recommenders: Insights from Evaluating Feature-Specific Similarity Metrics;Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-22

3. Constrained contextual bandit algorithm for limited-budget recommendation system;Engineering Applications of Artificial Intelligence;2024-02

4. Sequential Monte Carlo bandits;Foundations of Data Science;2024

5. Linear Contextual Bandits with Hybrid Payoff: Revisited;Lecture Notes in Computer Science;2024

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