Collaborative filtering recommender system (CFRS) plays a vital role in today's e-commerce
industry. CFRSs collect ratings from the users and predict recommendations for the targeted …

Most of the user-preferred products on e-commerce websites are accompanied by a
massive number of product reviews and manually analyzing each review to understand the …

This study proposes an ensemble model to incorporate sensory features of lexical items in
English from external resources into neural affective analysis frameworks. This allows the …

This thesis explores potential strategies to enhance user control and satisfaction within the
movie selection process, with a particular focus on the utilization of conversational …

Multi-criteria recommendation system refers to a recommendation system that takes multi-
criteria or multi-aspect ratings into consideration when learning user preferences. The core …

Các hệ khuyến nghị (RS) truyền thống cho rằng sự đánh giá bằng cách xếp hạng đối với
một thực thể trong quá khứ của người dùng thường xuyên thay đổi theo ngữ cảnh và thời …