most citedTowards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2020★ 4 cited

Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning

Han Zhang, Songlin Wang, Kang Zhang +5

Nowadays e-commerce search has become an integral part of many people's shopping routines. Two critical challenges stay in today's e-commerce search: how to retrieve items that are…