Ranking model plays an essential role in e-commerce search and
recommend...
Retrieving relevant items that match users' queries from billion-scale c...
Scene marketing that well demonstrates user interests within a certain
s...
BERT-style models pre-trained on the general corpus (e.g., Wikipedia) an...
Semantic image editing utilizes local semantic label maps to generate th...
Product images are essential for providing desirable user experience in ...
Automatic product description generation for e-commerce has witnessed
si...
Recent years have seen a surge of interest in meta-learning techniques f...
Conversational recommender systems (CRS) explicitly solicit users'
prefe...
In this paper, we proposed an automatic Scenario-based Multi-product
Adv...
Towards real-world information extraction scenario, research of relation...
Deep neural networks (DNNs) have been widely applied in various domains ...
Product quantization (PQ) coupled with a space rotation, is widely used ...
Machine Reading Comprehension (MRC) reveals the ability to understand a ...
Recent years have seen a significant amount of interests in Sequential
R...
Conversational recommendation system (CRS) is able to obtain fine-graine...
In the past decade, automatic product description generation for e-comme...
Product copywriting is a critical component of e-commerce recommendation...
We propose a novel domain-specific generative pre-training (DS-GPT) meth...
Considering a collection of RDF triples, the RDF-to-text generation task...
Knowledge graph question answering (i.e., KGQA) based on information
ret...
Predicting the next interaction of a short-term sequence is a challengin...
Social recommendation based on social network has achieved great success...
Many search systems work with large amounts of natural language data, e....
Many search systems work with large amounts of natural language data, e....
Predicting the next interaction of a short-term interaction session is a...
Graph convolution networks (GCN), which recently becomes new state-of-th...
Most sequential recommendation models capture the features of consecutiv...
Deep learning has become the dominant approach in coping with various ta...
Embedding index that enables fast approximate nearest neighbor(ANN) sear...
Nowadays e-commerce search has become an integral part of many people's
...
Result relevance prediction is an essential task of e-commerce search en...
Recent years have witnessed an increasing number of interpretation metho...
Understanding a user's query intent behind a search is critical for mode...
Query Auto Completion (QAC), as the starting point of information retrie...
Ranking is the most important component in a search system. Mostsearch
s...
Practical large-scale recommender systems usually contain thousands of
f...