Sunith Suresh

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Student

Graduation Year: 
2017

Master's Thesis

Bayesian Solution to the 20 Question Game with Application to Recommender Systems

Title: A Bayesian Strategy to the 20 Question Game with Applications to Recommender Systems   Author: Sunith R. Suresh   Advisor: David L. Banks   Abstract: In this paper, we develop an algorithm that utilizes a Bayesian strategy to determine a sequence of questions to play the 20 Question game. The algorithm is motivated with an application to active recommender systems. We first develop an algorithm that constructs a sequence of questions where each question inquires only about a single binary feature. We test the performance of the algorithm utilizing simulation studies, and find that it performs relatively well under an informed prior. We modify the algorithm to construct a sequence of questions where each question inquires about 2 binary features with AND conjunction. We test the performance of the modified algorithm via simulation studies, and find that it does not significantly improve performance.