Meta-learning on heterogeneous information networks for cold-start recommendation

• Main Authors: LU, Yuanfu, FANG, Yuan, SHI, Chuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Heterogeneous Information Network; Meta-learning; Cold-start Recommendation; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/5155; https://ink.library.smu.edu.sg/context/sis_research/article/6158/viewcontent/KDD20_MetaHIN.pdf
• Institution: Singapore Management University

Cold-start recommendation has been a challenging problem due to sparse user-item interactions for new users or items. Existing efforts have alleviated the cold-start issue to some extent, most of which approach the problem at the data level. Earlier methods often incorporate auxiliary data as user o...