111 citations · 233 across the 6 of their papers we have counts for
6 papers
Syntax-aware Neural Semantic Role Labeling
Qingrong Xia, Zhenghua Li, Min Zhang +4
Semantic role labeling (SRL), also known as shallow semantic parsing, is an important yet challenging task in NLP. Motivated by the close correlation between syntactic and semantic…
A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data
Jingang Wang, Junfeng Tian, Long Qiu +4
It is a challenging and practical research problem to obtain effective compression of lengthy product titles for E-commerce. This is particularly important as more and more users b…
Ensemble Methods for Personalized E-Commerce Search Challenge at CIKM Cup 2016
Chen Wu, Ming Yan, Luo Si
Personalized search has been a hot research topic for many years and has been widely used in e-commerce. This paper describes our solution to tackle the challenge of personalized e…
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
Huasha Zhao, Luo Si, Xiaogang Li +1
Push notification is a key component for E-commerce mobile applications, which has been extensively used for user growth and engagement. The effectiveness of the push notification…
Session-aware Information Embedding for E-commerce Product Recommendation
Chen Wu, Ming Yan, Luo Si
Most of the existing recommender systems assume that user's visiting history can be constantly recorded. However, in recent online services, the user identification may be usually…
Cascade Ranking for Operational E-commerce Search
Shichen Liu, Fei Xiao, Wenwu Ou +1
In the 'Big Data' era, many real-world applications like search involve the ranking problem for a large number of items. It is important to obtain effective ranking results and at…