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08/18/2023
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification
Retrieval augmentation, which enhances downstream models by a knowledge ...
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06/08/2023
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce
Ranking model plays an essential role in e-commerce search and recommend...
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03/09/2022
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes
Product quantization (PQ) coupled with a space rotation, is widely used ...
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02/01/2022
Sequential Search with Off-Policy Reinforcement Learning
Recent years have seen a significant amount of interests in Sequential R...
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12/15/2021
DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization
We propose a novel domain-specific generative pre-training (DS-GPT) meth...
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05/09/2021
Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index
Embedding index that enables fast approximate nearest neighbor(ANN) sear...
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04/26/2021
A unified Neural Network Approach to E-CommerceRelevance Learning
Result relevance scoring is critical to e-commerce search user experienc...
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01/13/2021
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
Result relevance prediction is an essential task of e-commerce search en...
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10/20/2020
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Relevance has significant impact on user experience and business profit ...
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08/21/2020
Fine-tune BERT for E-commerce Non-Default Search Ranking
The quality of non-default ranking on e-commerce platforms, such as base...
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07/24/2020
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint
Product search is the most common way for people to satisfy their shoppi...
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06/03/2020
Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning
Nowadays e-commerce search has become an integral part of many people's ...
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06/03/2020
Towards Personalized and Semantic Retrieval: An End-to-EndSolution for E-commerce Search via Embedding Learning
Nowadays e-commerce search has become an integral part of many people's ...
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09/11/2018
