733 citations · 3.6k across the 42 of their papers we have counts for
12 papers · 1 filter
Neural Logic Networks
Shaoyun Shi, Hanxiong Chen, Min Zhang +1
Recent years have witnessed the great success of deep neural networks in many research areas. The fundamental idea behind the design of most neural networks is to learn similarity…
Similarity Driven Approximation for Text Analytics
Guangyan Hu, Yongfeng Zhang, Sandro Rigo +1
Text analytics has become an important part of business intelligence as enterprises increasingly seek to extract insights for decision making from text data sets. Processing large…
Explainable Product Search with a Dynamic Relation Embedding Model
Qingyao Ai, Yongfeng Zhang, Keping Bi +1
Product search is one of the most popular methods for customers to discover products online. Most existing studies on product search focus on developing effective retrieval models…
Conversational Product Search Based on Negative Feedback
Keping Bi, Qingyao Ai, Yongfeng Zhang +1
Intelligent assistants change the way people interact with computers and make it possible for people to search for products through conversations when they have purchase needs. Dur…
Attentive History Selection for Conversational Question Answering
Chen Qu, Liu Yang, Minghui Qiu +4
Conversational question answering (ConvQA) is a simplified but concrete setting of conversational search. One of its major challenges is to leverage the conversation history to und…
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Yikun Xian, Zuohui Fu, S. Muthukrishnan +2
Recent advances in personalized recommendation have sparked great interest in the exploitation of rich structured information provided by knowledge graphs. Unlike most existing app…
Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
Xin Xin, Xiangnan He, Yongfeng Zhang +2
Existing item-based collaborative filtering (ICF) methods leverage only the relation of collaborative similarity. Nevertheless, there exist multiple relations between items in real…
BERT with History Answer Embedding for Conversational Question Answering
Chen Qu, Liu Yang, Minghui Qiu +3
Conversational search is an emerging topic in the information retrieval community. One of the major challenges to multi-turn conversational search is to model the conversation hist…
Personalized Re-ranking for Recommendation
Changhua Pei, Yi Zhang, Yongfeng Zhang +6
Ranking is a core task in recommender systems, which aims at providing an ordered list of items to users. Typically, a ranking function is learned from the labeled dataset to optim…
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems
Changhua Pei, Xinru Yang, Qing Cui +5
Existing recommendation algorithms mostly focus on optimizing traditional recommendation measures, such as the accuracy of rating prediction in terms of RMSE or the quality of top-…
Answer Interaction in Non-factoid Question Answering Systems
Chen Qu, Liu Yang, Bruce Croft +2
Information retrieval systems are evolving from document retrieval to answer retrieval. Web search logs provide large amounts of data about how people interact with ranked lists of…
User Intent Prediction in Information-seeking Conversations
Chen Qu, Liu Yang, Bruce Croft +3
Conversational assistants are being progressively adopted by the general population. However, they are not capable of handling complicated information-seeking tasks that involve mu…