Yi Zhang

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Papers30 papers

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Tutorial on Conversational Recommendation Systems

Zuohui Fu,Yikun Xian,Yongfeng Zhang,Yi Zhang

RecSys, pp.751-753, (2020)

EIBibtex

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

Changhua Pei,Yi Zhang,Yongfeng Zhang,Fei Sun,Xiao Lin, Hanxiao Sun, Jian Wu,Peng Jiang,Wenwu Ou,Dan Pei

arXiv: Information Retrieval, (2019)

Cited by1EIBibtex

Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning

Qiaolin Xia,Peng Jiang,Fei Sun,Yi Zhang,Xiaobo Wang,Zhifang Sui

CIKM, pp.1703-1706, (2018)

Cited by6EIBibtex

Session details: Session 5D: Recommender Systems - Applications

Yi Zhang

international acm sigir conference on research and development in information retrieval, (2018)

Bibtex

ACM SIGIR 2018 chairs' welcome

Iadh Ounis,James Allan, Ji-Rong Wen,Fernando Diaz,Maarten de Rijke,Carlos Castillo,Tat-Seng Chua,Debora Donato,Yi Zhang,Min-Yen Kan,Deepak Agarwal,Jianfeng Gao

international acm sigir conference on research and development in information retrieval, (2018)

Bibtex

Special Issue of ACM TOIS on Contextual Search and Recommendation

Paul N. Bennett,Kevyn Collins-Thompson,Diane Kelly,Ryen W. White,Yi Zhang, Guest Eds

ACM Transactions on Information Systems, (2017)

Bibtex

VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation

Robin Burke,Gediminas Adomavicius,Ido Guy, Jan Krasnodebski, Luiz Pizzato,Yi Zhang, Himan Abdollahpouri

RecSys, pp.378-379, (2017)

Cited by6EIBibtex

Multi-Product Utility Maximization for Economic Recommendation

Qi Zhao,Yongfeng Zhang,Yi Zhang,Daniel Friedman

WSDM, pp.435-443, (2017)

Cited by11EIBibtex

Economic Recommendation with Surplus Maximization

Yongfeng Zhang,Qi Zhao,Yi Zhang,Daniel Friedman,Min Zhang,Yiqun Liu,Shaoping Ma

WWW '16: 25th International World Wide Web Conference Montréal Québec Canada..., pp.73-83, (2016)

Cited by23EIBibtex

Conversational Recommendation System with Unsupervised Learning

Yueming Sun,Yi Zhang, Yunfei Chen, Roger Jin

RecSys, (2016)

EIBibtex

E-commerce Recommendation with Personalized Promotion

Qi Zhao,Yi Zhang,Daniel Friedman,Fangfang Tan

Conference on Recommender Systems, (2015)

Cited by28EIBibtex

Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web

Yuan Wang,Jie Liu,Yalou Huang,Yongfeng Zhang,Yi Zhang, Xintong Zhang

TREC, (2015)

EIBibtex

Task-based recommendation on a web-scale

Yongfeng Zhang,Min Zhang,Yiqun Liu,Tat-Seng Chua,Yi Zhang,Shaoping Ma

Big Data, (2015)

Cited by11EIBibtex

Exploiting User and Business Attributes for Personalized Business Recommendation

Kai Lu,Yi Zhang,Lanbo Zhang,Shuxin Wang

International Conference on Research an Development in Information Retrieval, (2015)

Cited by10EIBibtex

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis

Guokun Lai,Min Zhang,Yi Zhang,Yiqun Liu,Shaoping Ma

international acm sigir conference on research and development in information retrieval, (2014)

Cited by11Bibtex

Opportunity model for e-commerce recommendation: right product; right time

Jian Wang,Yi Zhang

SIGIR, pp.303-312, (2013)

Cited by120EIBibtex

Learning with limited supervision by input and output coding

Jeff Schneider,Yi Zhang

Learning with limited supervision by input and output coding, (2012)

Cited by1EIBibtex

Maximum Margin Output Coding

Yi Zhang,Jeff G. Schneider

ICML, (2012)

Cited by48EIBibtex

Learning conditional random fields with latent sparse features for acronym expansion finding

Jie Liu,Jimeng Chen,Yi Zhang,Yalou Huang

CIKM, pp.867-872, (2011)

Cited by5WOSSCOPUSEIBibtex

Best document selection based on approximate utility optimization

Hungyu Henry Lin,Yi Zhang,James Davis

SIGIR, pp.1215-1216, (2011)

Cited by2EIBibtex

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