New Intelligent Systems Study Findings Reported from Chongqing University of Technology (Multi-source Information Contrastive Learning Collaborative Augmented Conversational Recommender Systems)
New Intelligent Systems Study Findings Reported from Chongqing University of Technology (Multi-source Information Contrastive Learning Collaborative Augmented Conversational Recommender Systems)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning - Intelligent Systems are discussed in a new report. According to news reporting originating in Chongqing, People’s Republic of China, by NewsRx journalists, re search stated, “Conversational Recommender Systems (CRS) aim to provide high-qua lity items to users in fewer conversation rounds using natural language. Despite various attempts that have been made, there are still some problems: Previous C RS only learned item representations in a single knowledge graph and ignored ite m tags; information gaps exist in the same items from different knowledge graphs and information popularity both affect user preferences; system generated respo nses lack descriptiveness and diversity.”
Key words
Chongqing/People's Republic of China/Asia/Intelligent Systems/Machine Learning/Chongqing University of Technology
NETL
NSTL