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06/26/2022
Automatic Generation of Product-Image Sequence in E-commerce
Product images are essential for providing desirable user experience in ...
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06/15/2022
TeKo: Text-Rich Graph Neural Networks with External Knowledge
Graph Neural Networks (GNNs) have gained great popularity in tackling va...
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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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10/18/2021
RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System
Reinforcement learning based recommender systems (RL-based RS) aims at l...
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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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12/19/2018