総合研究大学院大学 / 情報科学(博士)
Latent Models for Movie Recommendation System
As a part of five-year Ph.D. course, dissertation progress evaluation is performed in the second year and equivalent to Master’s thesis defense. I extended proposed the Bayesian probabilistic model, with an assumption the movies popularity is as decreased as they are getting older. The model is able to group up the same characteristics such as rating patterns by their age, and shows that not all movies go along with the stated assumption.