2022
Neighbor-Augmented Transformer-Based Embedding for Retrieval
ICASSP 2022accepted
With rapid evolution of e-commerce, it is essential but challenging to quickly provide a recommending service for users. The recommender system can be divided into two stages: retrieval and ranking. However, most recent academic research has focused on the second stage for datasets with limited size…