ATLRec: An Attentional Adversarial Transfer Learning Network for Cross-Domain Recommendation

• Published in: Journal of computer science and technology Vol. 35; no. 4; pp. 794 - 808
• Main Authors: Li, Ying, Xu, Jia-Jie, Zhao, Peng-Peng, Fang, Jun-Hua, Chen, Wei, Zhao, Lei
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.07.2020; Springer; Springer Nature B.V; School of Computer Science and Technology, Soochow University, Suzhou 215006, China
• Subjects: Artificial Intelligence; Computer Science; Data Structures and Information Theory; Feature extraction; Information Systems Applications (incl.Internet); Knowledge; Learning; Neural networks; Recommender systems; Regular Paper; Representations; Software Engineering; Theory of Computation; cross-domain recommendation; attention mechanism; entity linking; adversarial transfer learning

Entity linking is a new technique in recommender systems to link users’ interaction behaviors in different domains, for the purpose of improving the performance of the recommendation task. Linking-based cross-domain recommendation aims to alleviate the data sparse problem by utilizing the domain-sha...