RACRec: Review Aware Cross-Domain Recommendation for Fully-Cold-Start User

Traditional recommendation algorithms such as matrix factorization, collaborative filtering perform poorly when lack of interactive information of user and product, known as the user cold-start problem, which may cut down the revenue of E-Commerce platform. Moreover, it is more challenging to genera...

Full description

Bibliographic Details

Published in:	IEEE Access
Main Authors:	Yaru Jin, Shoubin Dong, Yong Cai, Jinlong Hu
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Cross-domain recommendation select reviews fully-cold-start review aware recommendation
Online Access:	https://ieeexplore.ieee.org/document/9042271/