Massive key performance indicators (KPIs) are monitored as multivariate ...
Recent studies on Click-Through Rate (CTR) prediction has reached new le...
Watch-time prediction remains to be a key factor in reinforcing user
eng...
Click-Through Rate (CTR) prediction is one of the core tasks in recommen...
Personalized recommendation benefits users in accessing contents of inte...
Features play an important role in most prediction tasks of e-commerce
r...
Ranking is a core task in E-commerce recommender systems, which aims at
...
Modeling users' dynamic and evolving preferences from their historical
b...
Existing recommendation algorithms mostly focus on optimizing traditiona...
In this paper, we study the product title summarization problem in E-com...