Influencing Bandits: Arm Selection for Preference Shaping

no code implementations • 29 Feb 2024 • Viraj Nadkarni, D. Manjunath, Sharayu Moharir

For the case of binary opinions, two types of opinion dynamics are considered -- decreasing elasticity (modeled as a Polya urn with increasing number of balls) and constant elasticity (using the voter model).

Recommendation Systems Thompson Sampling

Learning Recommendations While Influencing Interests

no code implementations • 23 Mar 2018 • Rahul Meshram, D. Manjunath, Nikhil Karamchandani

Many of these are based on learning algorithms where the RS uses the recommendation history and the user response to learn an optimal strategy.

Recommendation Systems

Optimal Recommendation to Users that React: Online Learning for a Class of POMDPs

no code implementations • 30 Mar 2016 • Rahul Meshram, Aditya Gopalan, D. Manjunath

We then analyze the performance of the learning algorithm and characterize the regret.

Recommendation Systems Thompson Sampling