Yongfeng Zhang

COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce

In this work, we present a new dataset for conversational recommendation...
08/21/2020 ∙ by Zuohui Fu, et al. ∙ 33 ∙ share

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Neural Logic Reasoning

Recent years have witnessed the success of deep neural networks in many ...
08/20/2020 ∙ by Shaoyun Shi, et al. ∙ 31 ∙ share

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E-commerce Recommendation with Weighted Expected Utility

Different from shopping at retail stores, consumers on e-commerce platfo...
08/19/2020 ∙ by Zhichao Xu, et al. ∙ 0 ∙ share

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Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation

Recent work on recommender systems has considered external knowledge gra...
07/26/2020 ∙ by Yikun Xian, et al. ∙ 0 ∙ share

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Learning Personalized Risk Preferences for Recommendation

The rapid growth of e-commerce has made people accustomed to shopping on...
07/06/2020 ∙ by Yingqiang Ge, et al. ∙ 0 ∙ share

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Understanding Echo Chambers in E-commerce Recommender Systems

Personalized recommendation benefits users in accessing contents of inte...
07/06/2020 ∙ by Yingqiang Ge, et al. ∙ 0 ∙ share

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Learning Post-Hoc Causal Explanations for Recommendation

State-of-the-art recommender systems have the ability to generate high-q...
06/30/2020 ∙ by Shuyuan Xu, et al. ∙ 0 ∙ share

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Fairness-Aware Explainable Recommendation over Knowledge Graphs

There has been growing attention on fairness considerations recently, es...
06/03/2020 ∙ by Zuohui Fu, et al. ∙ 1 ∙ share

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Neural Collaborative Reasoning

Collaborative Filtering (CF) has been an important approach to recommend...
05/16/2020 ∙ by Hanxiong Chen, et al. ∙ 0 ∙ share

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IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems

Personal assistant systems, such as Apple Siri, Google Assistant, Amazon...
02/03/2020 ∙ by Liu Yang, et al. ∙ 0 ∙ share

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Neural Logic Networks

Recent years have witnessed the great success of deep neural networks in...
10/17/2019 ∙ by Shaoyun Shi, et al. ∙ 0 ∙ share

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Similarity Driven Approximation for Text Analytics

Text analytics has become an important part of business intelligence as ...
10/16/2019 ∙ by Guangyan Hu, et al. ∙ 0 ∙ share

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Explainable Product Search with a Dynamic Relation Embedding Model

Product search is one of the most popular methods for customers to disco...
09/16/2019 ∙ by Qingyao Ai, et al. ∙ 0 ∙ share

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Conversational Product Search Based on Negative Feedback

Intelligent assistants change the way people interact with computers and...
09/04/2019 ∙ by Keping Bi, et al. ∙ 0 ∙ share

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Attentive History Selection for Conversational Question Answering

Conversational question answering (ConvQA) is a simplified but concrete ...
08/26/2019 ∙ by Chen Qu, et al. ∙ 0 ∙ share

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Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

Recent advances in personalized recommendation have sparked great intere...
06/12/2019 ∙ by Yikun Xian, et al. ∙ 0 ∙ share

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BERT with History Answer Embedding for Conversational Question Answering

Conversational search is an emerging topic in the information retrieval ...
05/14/2019 ∙ by Chen Qu, et al. ∙ 0 ∙ share

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Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation

Existing item-based collaborative filtering (ICF) methods leverage only ...
04/29/2019 ∙ by Xin Xin, et al. ∙ 0 ∙ share

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Personalized Context-aware Re-ranking for E-commerce Recommender Systems

Ranking is a core task in E-commerce recommender systems, which aims at ...
04/15/2019 ∙ by Changhua Pei, et al. ∙ 0 ∙ share

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Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems

Existing recommendation algorithms mostly focus on optimizing traditiona...
02/03/2019 ∙ by Changhua Pei, et al. ∙ 0 ∙ share

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Answer Interaction in Non-factoid Question Answering Systems

Information retrieval systems are evolving from document retrieval to an...
01/11/2019 ∙ by Chen Qu, et al. ∙ 0 ∙ share

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User Intent Prediction in Information-seeking Conversations

Conversational assistants are being progressively adopted by the general...
01/11/2019 ∙ by Chen Qu, et al. ∙ 0 ∙ share

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Attentive Aspect Modeling for Review-aware Recommendation

In recent years, many studies extract aspects from user reviews and inte...
11/11/2018 ∙ by Xinyu Guan, et al. ∙ 0 ∙ share

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Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation

Providing model-generated explanations in recommender systems is importa...
05/09/2018 ∙ by Qingyao Ai, et al. ∙ 0 ∙ share

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Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems

Intelligent personal assistant systems with either text-based or voice-b...
05/01/2018 ∙ by Liu Yang, et al. ∙ 0 ∙ share

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Explainable Recommendation: A Survey and New Perspectives

Explainable Recommendation refers to the personalized recommendation alg...
04/30/2018 ∙ by Yongfeng Zhang, et al. ∙ 0 ∙ share

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Analyzing and Characterizing User Intent in Information-seeking Conversations

Understanding and characterizing how people interact in information-seek...
04/23/2018 ∙ by Chen Qu, et al. ∙ 0 ∙ share

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Learning over Knowledge-Base Embeddings for Recommendation

State-of-the-art recommendation algorithms -- especially the collaborati...
03/17/2018 ∙ by Yongfeng Zhang, et al. ∙ 0 ∙ share

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Visually Explainable Recommendation

Images account for a significant part of user decisions in many applicat...
01/31/2018 ∙ by Xu Chen, et al. ∙ 0 ∙ share

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Explainable Recommendation: Theory and Applications

Although personalized recommendation has been investigated for decades, ...
08/21/2017 ∙ by Yongfeng Zhang, et al. ∙ 0 ∙ share

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Boost Phrase-level Polarity Labelling with Review-level Sentiment Classification

Sentiment analysis on user reviews helps to keep track of user reactions...
02/11/2015 ∙ by Yongfeng Zhang, et al. ∙ 0 ∙ share

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Yongfeng Zhang

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