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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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03/20/2023
Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search
Retrieving relevant items that match users' queries from billion-scale c...
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10/06/2022
Automatic Scene-based Topic Channel Construction System for E-Commerce
Scene marketing that well demonstrates user interests within a certain s...
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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...
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07/13/2022
Context-Consistent Semantic Image Editing with Style-Preserved Modulation
Semantic image editing utilizes local semantic label maps to generate th...
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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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06/21/2022
Automatic Controllable Product Copywriting for E-Commerce
Automatic product description generation for e-commerce has witnessed si...
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06/04/2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Recent years have seen a surge of interest in meta-learning techniques f...
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05/24/2022
Meta Policy Learning for Cold-Start Conversational Recommendation
Conversational recommender systems (CRS) explicitly solicit users' prefe...
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05/21/2022
Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce
In this paper, we proposed an automatic Scenario-based Multi-product Adv...
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05/21/2022
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning
Towards real-world information extraction scenario, research of relation...
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03/16/2022
Reducing Flipping Errors in Deep Neural Networks
Deep neural networks (DNNs) have been widely applied in various domains ...
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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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03/05/2022
Feeding What You Need by Understanding What You Learned
Machine Reading Comprehension (MRC) reveals the ability to understand a ...
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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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12/22/2021
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation
Conversational recommendation system (CRS) is able to obtain fine-graine...
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12/16/2021
Intelligent Online Selling Point Extraction for E-Commerce Recommendation
In the past decade, automatic product description generation for e-comme...
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12/15/2021
Automatic Product Copywriting for E-Commerce
Product copywriting is a critical component of e-commerce recommendation...
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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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11/20/2021
RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders
Considering a collection of RDF triples, the RDF-to-text generation task...
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11/20/2021
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph
Knowledge graph question answering (i.e., KGQA) based on information ret...
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09/24/2021
Multi-behavior Graph Contextual Aware Network for Session-based Recommendation
Predicting the next interaction of a short-term sequence is a challengin...
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09/24/2021
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation
Social recommendation based on social network has achieved great success...
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08/16/2021
Deep Natural Language Processing for LinkedIn Search
Many search systems work with large amounts of natural language data, e....
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07/30/2021
Deep Natural Language Processing for LinkedIn Search Systems
Many search systems work with large amounts of natural language data, e....
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07/08/2021
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
Predicting the next interaction of a short-term interaction session is a...
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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...
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06/26/2021
Improving Sequential Recommendation Consistency with Self-Supervised Imitation
Most sequential recommendation models capture the features of consecutiv...
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06/10/2021
Graph Neural Networks for Natural Language Processing: A Survey
Deep learning has become the dominant approach in coping with various ta...
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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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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 ...
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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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09/16/2020
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability
Recent years have witnessed an increasing number of interpretation metho...
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08/15/2020
Deep Search Query Intent Understanding
Understanding a user's query intent behind a search is critical for mode...
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08/06/2020
Efficient Neural Query Auto Completion
Query Auto Completion (QAC), as the starting point of information retrie...
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08/06/2020
DeText: A Deep Text Ranking Framework with BERT
Ranking is the most important component in a search system. Mostsearch s...
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06/26/2020
