HIGHLIGHTS
- who: Xiaoyuan Song and collaborators from the School of Information Science and Engineering, Xinjiang University, Urumqi, China have published the research work: A Recommendation Algorithm Combining Local and Global Interest Features, in the Journal: Electronics 2023, 12, x FOR PEER REVIEW of /2023/
- what: To address the above issues in this paper an approach users` interest features with interest features (KGG) is proposed to efficiently explore the user`s preference level for the target item which learns the user`s interest features and interest features for target item through Knowledge Graph Convolutional Network and Generative . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.