"Multi-view Multi-behavior Contrastive Learning in Recommendation"

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Book	Author(s)	Year	Publisher
Learning Representation for Multi-View Data Analysis: Models and Applications	Zhengming Ding; Handong Zhao; Yun Fu	1st ed. 2019	Springer International Publishing
Deep Learning for Matching in Search and Recommendation	Jun Xu	2020	NOW PUBLISHERS
Learning & behavior	Paul Chance	1994	Brooks/Cole Pub. Co.
Recent Advancements in Multi-View Data Analytics	Witold Pedrycz; Shyi-Ming Chen	1st ed. 2022	Springer International Publishing
Behavior in organizations: a multidimensional view	Anthony G. Athos	1968	Prentice-Hall
Behavior in organizations: a multidimensional view
Behavior in organizations: a multidimensional view	Robert E. Coffey	1975	Prentice-Hall
Multi-Objective Machine Learning	Yaochu Jin	2006	Springer Berlin Heidelberg
Multi-level issues in organizational behavior and leadership	Francis J. Yammarino	2009	Emerald Group Publishing
Multi-level issues in organizational behavior and strategy	Fred Dansereau	2003	JAI
Multi-level issues in organizational behavior and processes /	Yammarino, Francis J.,; Dansereau, Fred,	2004.	JAI,
Abnormal behavior: psychology's view	Frank B. McMahon	1976	Prentice-Hall
Learning and behavior /	Mazur, James E.,	[1994], ©1994.	Prentice Hall,
Learning and Behavior	Paul Chance	2013	Cengage Learning
Learning and behavior /	Mazur, James E.,	c2006.	Pearson/Prentice Hall,
Learning and behavior /	Mazur, James E.,	[2001]	Prentice Hall,
Learning and behavior	Paul Chance	1999	Brooks/Cole Pub. Co.
Learning and behavior.	Reed Lawson	1960	Macmillan
Papers in contrastive linguistics	International Congress of Applied Linguistics (2nd 1969 Cambridge, England)	1971	University Press
Recommendation	American Bar Association. Task Force on Presidential Signing Statements and the Separation of Powers Doctrine	2006]	American Bar Association,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Multi-view Multi-behavior Contrastive Learning in Recommendation	Yiqing Wu; Ruobing Xie; Yongchun Zhu; Xiang Ao; Xin Chen; Xu Zhang et al.	Database Systems for Advanced Applications: 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part II	Arnab Bhattacharya; Janice Lee Mong Li; Divyakant Agrawal; P. Krishna Reddy; Mukesh Mohania; Anirban Mondal; Vikram Goyal; Rage Uday Kiran	1st ed. 2022	Springer International Publishing
Personalized Travel Recommendation via Multi-view Representation Learning	Yujun Zhang; Bing Han; Xinbo Gao; Haoran Li	Pattern Recognition and Computer Vision: Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part III	Zhouchen Lin; Liang Wang; Jian Yang; Guangming Shi; Tieniu Tan; Nanning Zheng; Xilin Chen; Yanning Zhang	1st ed. 2019	Springer International Publishing
Multi-View Learning		Multimodal Learning Toward Micro-video Understanding	Liqiang Nie, Meng Liu, Xuemeng Song	2019	Morgan & Claypool
Multi-view learning		Natural Language Processing	Jacob Eisenstein	2018	MIT Press, and are posted here under the Creative Commons license CC-BY-NC-ND
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning	Zheren Li; Zhiming Cui; Sheng Wang; Yuji Qi; Xi Ouyang; Qitian Chen et al.	Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII	Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng; Caroline Essert	1st ed. 2021	Springer International Publishing
Multi-context Recommendation in Technology Enhanced Learning	Majda Maâtallah; Hassina Seridi-Bouchelaghem	Intelligent Tutoring Systems: 11th International Conference, ITS 2012, Chania, Crete, Greece, June 14-18, 2012. Proceedings	Stefano A. Cerri; William J. Clancey; Giorgos Papadourakis; Kitty-Kiriaki Panourgia	2012	Springer Berlin Heidelberg
Multi-View Representation Learning	G. Muthu Lakshmi; N. Krishnammal	Prediction and Analysis for Knowledge Representation and Machine Learning: Prediction and Analysis for Knowledge Representation and Machine Learning	Avadhesh Kumar; Shrddha Sagar; T. Ganesh Kumar; K. Sampath Kumar	2022	Routledge
Multi-view Transformation Learning	Zhengming Ding; Handong Zhao; Yun Fu	Learning Representation for Multi-View Data Analysis: Models and Applications	Zhengming Ding; Handong Zhao; Yun Fu	1st ed. 2019	Springer International Publishing
Collaborative Multi-view Learning with Active Discriminative Prior for Recommendation	Qing Zhang; Houfeng Wang	Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I	Tru Cao; Ee-Peng Lim; Zhi-Hua Zhou; Tu-Bao Ho; David Cheung; Hiroshi Motoda	2015	Springer International Publishing
Correction to: Personalized Travel Recommendation via Multi-view Representation Learning	Yujun Zhang; Bing Han; Xinbo Gao; Haoran Li	Pattern Recognition and Computer Vision: Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part III	Zhouchen Lin; Liang Wang; Jian Yang; Guangming Shi; Tieniu Tan; Nanning Zheng; Xilin Chen; Yanning Zhang	1st ed. 2019	Springer International Publishing
Contrastive Learning for View Classification of Echocardiograms	Agisilaos Chartsias; Shan Gao; Angela Mumith; Jorge Oliveira; Kanwal Bhatia; Bernhard Kainz et al.	Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings	J. Alison Noble; Stephen Aylward; Alexander Grimwood; Zhe Min; Su-Lin Lee; Yipeng Hu	1st ed. 2021	Springer International Publishing
Understanding and Learning from User Behavior for Recommendation in Multi-channel Retail	Mozhdeh Ariannezhad	Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II	Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty	1st ed. 2022	Springer International Publishing
MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation	Yuan Yuan; Yan Tang; Luomin Du; Yingpei Chen	Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I	Gerard Memmi; Baijian Yang; Linghe Kong; Tianwei Zhang; Meikang Qiu	1st ed. 2022	Springer International Publishing
Contrastive Learning (CL)		Practical Machine Learning with Spark: Uncover Apache Spark’s Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML(English Edition)	Gourav Gupta, Dr. Manish Gupta, Dr. Inder Singh Gupta	2022	BPB Publications
Multi-view Discriminative Sequential Learning	Ulf Brefeld; Christoph Büscher; Tobias Scheffer	Machine Learning: ECML 2005: 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings	João Gama; Rui Camacho; Pavel Brazdil; Alípio Jorge; Luís Torgo	2005	Springer Berlin Heidelberg
Robust Multi-view Subspace Learning	Sheng Li; Yun Fu	Robust Representation for Data Analytics: Models and Applications	Sheng Li; Yun Fu	1st ed. 2017	Springer International Publishing
Deep Generative Multi-view Learning	Mahdi Karami	Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I	Peggy Cellier; Kurt Driessens	1st ed. 2020	Springer International Publishing
Label-Efficient Multi-task Segmentation Using Contrastive Learning	Junichiro Iwasawa; Yuichiro Hirano; Yohei Sugawara	Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part I	Alessandro Crimi; Spyridon Bakas	1st ed. 2021	Springer International Publishing
Tensor Learning in Multi-view Kernel PCA	Lynn Houthuys; Johan A. K. Suykens	Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II	Věra Kůrková; Yannis Manolopoulos; Barbara Hammer; Lazaros Iliadis; Ilias Maglogiannis	1st ed. 2018	Springer International Publishing
Multi-task Feature Learning for Social Recommendation	Yuanyuan Zhang; Maosheng Sun; Xiaowei Zhang; Yonglong Zhang	Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction: 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings	Bing Qin; Zhi Jin; Haofen Wang; Jeff Pan; Yongbin Liu; Bo An	1st ed. 2021	Springer Nature Singapore
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