Yongfeng Zhang

According to our database1, Yongfeng Zhang authored at least 91 papers between 2009 and 2020.

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Bibliography

2020
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems.
CoRR, 2020

2019
A Quantitative and Comparative Study of Network-Level Efficiency for Cloud Storage Services.
TOMPECS, 2019

Attentive Aspect Modeling for Review-Aware Recommendation.
ACM Trans. Inf. Syst., 2019

Adversarial Distillation for Efficient Recommendation with External Knowledge.
ACM Trans. Inf. Syst., 2019

Special issue on multimedia recommendation and multi-modal data analysis.
Multimedia Syst., 2019

Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction.
J. Comput. Sci. Technol., 2019

Neural Logic Networks.
CoRR, 2019

Similarity Driven Approximation for Text Analytics.
CoRR, 2019

Explainable Product Search with a Dynamic Relation Embedding Model.
CoRR, 2019

Personalized Context-aware Re-ranking for E-commerce Recommender Systems.
CoRR, 2019

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems.
CoRR, 2019

Finite-Time Trajectory Tracking Control for Overhead Crane Systems Subject to Unknown Disturbances.
IEEE Access, 2019

Image Recommendation With Reciprocal Social Influence.
IEEE Access, 2019

Visual Semantic Image Recommendation.
IEEE Access, 2019

WWW'19 Tutorial on Explainable Recommendation and Search.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Value-aware Recommendation based on Reinforcement Profit Maximization.
Proceedings of the World Wide Web Conference, 2019

Neural Variational Correlated Topic Modeling.
Proceedings of the World Wide Web Conference, 2019

Maximizing Marginal Utility per Dollar for Economic Recommendation.
Proceedings of the World Wide Web Conference, 2019

EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

SIGIR 2019 Tutorial on Explainable Recommendation and Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Hierarchical Matching Network for Crime Classification.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Unified Collaborative Filtering over Graph Embeddings.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

BERT with History Answer Embedding for Conversational Question Answering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Personalized re-ranking for recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

RMSE: Workshop on Recommendation in Multi-stakeholder Environments.
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Recommendation in multistakeholder environments.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Tutorial on Explainable Recommendation and Search.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

Adaptive Feature Sampling for Recommendation with Missing Content Feature Values.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Attentive History Selection for Conversational Question Answering.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Conversational Product Search Based on Negative Feedback.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

User Intent Prediction in Information-seeking Conversations.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

Answer Interaction in Non-factoid Question Answering Systems.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

Model-Free Adaptive Integral Sliding Mode Control for 4-DOF Tower Crane Systems.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

Dynamic Explainable Recommendation Based on Neural Attentive Models.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Report on EARS'18: 1st International Workshop on ExplainAble Recommendation and Search.
SIGIR Forum, 2018

Triple-Frequency Code-Phase Combination Determination: A Comparison with the Hatch-Melbourne-Wübbena Combination Using BDS Signals.
Remote Sensing, 2018

Explainable Recommendation: A Survey and New Perspectives.
CoRR, 2018

Learning over Knowledge-Base Embeddings for Recommendation.
CoRR, 2018

Visually Explainable Recommendation.
CoRR, 2018

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation.
Algorithms, 2018

IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Sequential Recommendation with User Memory Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

SIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS 2018).
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Analyzing and Characterizing User Intent in Information-seeking Conversations.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Towards Conversational Search and Recommendation: System Ask, User Respond.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Detecting Stress Based on Social Interactions in Social Networks.
IEEE Trans. Knowl. Data Eng., 2017

Explainable Recommendation: Theory and Applications.
CoRR, 2017

Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation.
CoRR, 2017

Multi-Product Utility Maximization for Economic Recommendation.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Personalized Key Frame Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Learning a Hierarchical Embedding Model for Personalized Product Search.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Fairness-Aware Group Recommendation with Pareto-Efficiency.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Give me Something Unknown: Incorporate Exploration Preference in Cognition into Recommender System.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Boosting Moving Average Reversion Strategy for Online Portfolio Selection: A Meta-learning Approach.
Proceedings of the Database Systems for Advanced Applications, 2017

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Learning and Transferring Social and Item Visibilities for Personalized Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Disparity-Aware Group Formation for Recommendation.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Joint Factorizational Topic Models for Cross-City Recommendation.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images.
Proceedings of the Information Retrieval Technology, 2017

Probabilistic Local Matrix Factorization Based on User Reviews.
Proceedings of the Information Retrieval Technology, 2017

2016
Deep learning and interpolation for featured-based pattern classification.
PhD thesis, 2016

Economic Recommendation with Surplus Maximization.
Proceedings of the 25th International Conference on World Wide Web, 2016

HLBPR: A Hybrid Local Bayesian Personal Ranking Method.
Proceedings of the 25th International Conference on World Wide Web, 2016

Learning to Rank Features for Recommendation over Multiple Categories.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015
Boost Phrase-level Polarity Labelling with Review-level Sentiment Classification.
CoRR, 2015

Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis.
Proceedings of the 24th International Conference on World Wide Web, 2015

Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Interpolation aided fuzzy image classification.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Task-based recommendation on a web-scale.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Do users rate or review?: boost phrase-level sentiment labeling with review-level sentiment classification.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Browser-oriented universal cross-site recommendation and explanation based on user browsing logs.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Interpolating Deep Spatio-Temporal Inference Network features for image classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Localized matrix factorization for recommendation based on matrix block diagonal forms.
Proceedings of the 22nd International World Wide Web Conference, 2013

Interpolating destin features for image classification.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Improve collaborative filtering through bordered block diagonal form matrices.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

A Unified Framework for Emotional Elements Extraction Based on Finite State Matching Machine.
Proceedings of the Natural Language Processing and Chinese Computing, 2013

A general collaborative filtering framework based on matrix bordered block diagonal forms.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

2012
Dynamics of a computational affective model inspired by Dörner's PSI theory.
Cogn. Syst. Res., 2012

2010
Investigating Characteristics of Non-click Behavior Using Query Logs.
Proceedings of the Information Retrieval Technology, 2010

2009
Research on Turn Ratio of Magnetic Valve Type Controlled Reactor Based on Bifurcation Theory.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009


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