Kaikai Ge

Real-time Attention Based Look-alike Model for Recommender System

2019

Recently, deep learning models play more and more important roles in contents recommender systems. However, although the performance of recommendations is greatly improved, the "Matthew effect" becomes increasingly evident. While the head contents get more …

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users

2021

Cold-start problems are enormous challenges in practical recommender systems. One promising solution for this problem is cross-domain recommendation (CDR) which leverages rich information from an auxiliary (source) domain to improve the performance of recommender system …