research
∙
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...
share
research
∙
06/07/2023
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation
Conversational recommendation systems (CRS) effectively address informat...
research
∙
05/24/2023
JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions
Recently, personalized product search attracts great attention and many ...
research
∙
03/28/2023
A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval
Query intent classification, which aims at assisting customers to find d...
research
∙
03/20/2023
Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search
Retrieving relevant items that match users' queries from billion-scale c...
research
∙
08/12/2022
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search
BERT-style models pre-trained on the general corpus (e.g., Wikipedia) an...
research
∙
02/01/2022
Sequential Search with Off-Policy Reinforcement Learning
Recent years have seen a significant amount of interests in Sequential R...
research
∙
07/01/2021
SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search
Graph convolution networks (GCN), which recently becomes new state-of-th...
research
∙
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...
research
∙
03/01/2021
Query Rewriting via Cycle-Consistent Translation for E-Commerce Search
Nowadays e-commerce search has become an integral part of many people's ...
research
∙
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...
research
∙
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 ...
research
∙
10/02/2020
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Click-through rate (CTR) prediction is one of the fundamental tasks for ...
research
∙
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...
research
∙
06/18/2020
