Xingzhong Du

Streaming Ranking Based Recommender Systems

2018

Studying recommender systems under streaming scenarios has become increasingly important because real-world applications produce data continuously and rapidly. However, most existing recommender systems today are designed in the context of an offline setting. Compared with …