3 citations · 5 across the 8 of their papers we have counts for
9 papers
Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation
Kai Ouyang, Xianghong Xu, Miaoxin Chen +4
Session-based Recommendation (SR) aims to predict users' next click based on their behavior within a short period, which is crucial for online platforms. However, most existing SR…
An Online Question Answering System based on Sub-graph Searching
Shuangyong Song
Knowledge graphs (KGs) have been widely used for question answering (QA) applications, especially the entity based QA. However, searching an-swers from an entire large-scale knowle…
An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary
Shuangyong Song, Kexin Wang, Chao Wang +2
In response generation task, proper sentimental expressions can obviously improve the human-like level of the responses. However, for real application in online systems, high QPS (…
MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning
Shuangyong Song, Chao Wang, Qianqian Xie +3
Conversational context understanding aims to recognize the real intention of user from the conversation history, which is critical for building the dialogue system. However, the mu…
TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce
Shuangyong Song, Chao Wang
Automatic question-answering (QA) systems have boomed during last few years, and commonly used techniques can be roughly categorized into Information Retrieval (IR)-based and gener…
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce
Jianfei Yu, Minghui Qiu, Jing Jiang +4
In this paper, we study transfer learning for the PI and NLI problems, aiming to propose a general framework, which can effectively and efficiently adapt the shared knowledge learn…