Abstract: Trust-aware recommender system (TARS) can provide more relevant recommendation and more accurate rating predictions than the traditional recommender system by taking the trust network into ...
Abstract: Context-aware recommender system (CARS) can provide more accurate rating predictions and more relevant recommendations by taking into account the contextual in-formation. Yet the ...
This project is a comprehensive, comparative study of recommender system architectures, systematically building and evaluating three tiers of intelligence: non-personalized baselines, classic ...
Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into ...