Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index

1 code implementation • 9 May 2021 • Han Zhang, Hongwei Shen, Yiming Qiu, Yunjiang Jiang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang

Embedding index that enables fast approximate nearest neighbor(ANN) search, serves as an indispensable component for state-of-the-art deep retrieval systems.

Quantization Retrieval

BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search

no code implementations • 20 Oct 2020 • Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin

Relevance has significant impact on user experience and business profit for e-commerce search platform.

Sentiment Analysis

Fine-tune BERT for E-commerce Non-Default Search Ranking

no code implementations • 21 Aug 2020 • Yunjiang Jiang, Yue Shang, Hongwei Shen, Wen-Yun Yang, Yun Xiao

The quality of non-default ranking on e-commerce platforms, such as based on ascending item price or descending historical sales volume, often suffers from acute relevance problems, since the irrelevant items are much easier to be exposed at the top of the ranking results.