New Information Technology Findings from Communication University of China Published (A Rating Prediction Recommendation Model Combined with the Optimizing Allocation for Information Granularity of Attributes)

摘要

By a News Reporter-Staff News Editor at Network Daily News - Fresh data on information technology are presented in a new report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “In recent years, graph neural networks (GNNS) have been demonstrated to be a powerful way to learn graph data. The existing recommender systems based on the implicit factor models mainly use the interactive information between users and items for training and learning.”