Application of PhD debate 𞓜 self supervised learning in Recommendation System

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6 month 11 Japan 19:00-20:30, In this issue PhD Debate Huang Chao, an assistant professor from the school of computer science, the University of Hong Kong, was invited to the studio 、 Zhangzhen, postdoctoral fellow of the National University of Singapore 、 Wuchuhan, a doctoral student of Tsinghua University, and wujiancan, a doctoral student of University of science and technology of China , Talk with everyone The application of self supervised learning in recommendation system .

In recent years , Self supervised learning has been widely used in various fields . By introducing additional supervisory signals , To solve the problem of data sparsity .

1、 For different recommended scenarios , How to better design self supervised auxiliary tasks , So as to enhance user representation learning ? 

2、 In different recommendation scenarios , What are the different and effective ways of constructing self supervised and comparative learning tasks ？

3、 What are the challenges of self supervised learning in different scenarios ？

4、 Multimodal data is introduced into the recommendation system , How to better realize the fusion of modal data ？

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Huang Chao ：

Assistant Professor, School of computer science, University of Hong Kong , Doctoral supervisor . At present, the main research direction is artificial intelligence , data mining , Spatiotemporal data analysis , Figure neural network , Recommendation system . stay KDD, WWW, SIGIR, ICDE, AAAI, IJCAI, CIKM, WSDM And other top conferences in the field of data mining and artificial intelligence 40 Yu Wen . The papers published by the first author and corresponding author were obtained respectively WWW’2019,WSDM’2022 Best paper nomination . meanwhile , Served continuously as KDD, SIGIR, WWW, NIPS, ICLR, AAAI, IJCAI, WSDM, CIKM Members of the review committee at the meeting , as well as TKDE, TOIS, TIST, TOC, TKDD, TNNLS Long term reviewers of journals such as . And be WSDM’2020 and WSDM’2022 The meeting awarded the outstanding evaluation committee member award . The user modeling algorithm and system developed are deployed and applied to massive user data platforms , Relevant research results have been reported by many famous academic media .

Zhang Zhen ：

Postdoctoral Fellow, National University of Singapore . At present, the main research direction is data mining 、 Fig. neural network, etc . I was in KDD、WWW as well as TKDE And other top data mining conferences or journals , Served as AAAI,MM,ECCV,CIKM And other members of the review committee of several well-known academic conferences , as well as TKDE,Neural Networks,ACM Computing Surveys Long term reviewers of journals such as .

Wu Chuhan ：

Ph. D. candidate, Department of electronic engineering, Tsinghua University . The main research direction is recommendation system , User modeling and naturallanguageprocessing . I was in TOIS and TIST And other academic journals KDD and ACL And other academic conferences , Google academic citation 1800 Remaining times ,h Index 24, He has won honors such as Microsoft scholar . Who has held or is holding several well-known academic conferences （ senior ） Members of the procedure Committee 、 Chair of the workshop procedure 、 Multiple Transaction Journal reviewers and Frontiers in Public Health Guest editors, etc , A number of research work has been carried out in the actual business recommendation and advertising system .

Wujiancan ：

Doctoral candidate, Department of electronic engineering and information science, University of science and technology of China . At present, the main research direction is data mining 、 Figure neural network 、 Recommendation system 、 Causal reasoning, etc . stay KDD、WWW、SIGIR And other top conferences and journals in the field of data mining and artificial intelligence , And served as a number of international conferences 、 A member of the program committee or reviewer of a journal .

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