"Machine Learning Paradigms: Applications in Recommender Systems"

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Book	Author(s)	Year	Publisher
Machine Learning Paradigms: Applications in Recommender Systems	Aristomenis S. Lampropoulos; George A. Tsihrintzis	2015	Springer International Publishing
Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems	George A. Tsihrintzis; Maria Virvou; Evangelos Sakkopoulos; Lakhmi C. Jain	1st ed. 2019	Springer International Publishing
Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization	Dionisios N. Sotiropoulos; George A. Tsihrintzis	1st ed. 2017	Springer International Publishing
Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications	George A. Tsihrintzis; Lakhmi C. Jain	1st ed. 2020	Springer International Publishing
Recommender Systems for Learning	Nikos Manouselis; Hendrik Drachsler; Katrien Verbert; Erik Duval	2013	Springer New York
Emerging Paradigms in Machine Learning	Sheela Ramanna; Lakhmi C Jain; Robert J. Howlett	2013	Springer Berlin Heidelberg
Algorithms in Machine Learning Paradigms	Jyotsna Kumar Mandal; Somnath Mukhopadhyay; Paramartha Dutta; Kousik Dasgupta	1st ed. 2020	Springer Nature Singapore
Machine Learning Paradigms: Advances in Learning Analytics	Maria Virvou; Efthimios Alepis; George A. Tsihrintzis; Lakhmi C. Jain	1st ed. 2020	Springer International Publishing
Recommender Systems: Algorithms and Applications	P. Pavan Kumar; S. Vairachilai; Sirisha Potluri; Sachi Nandan Mohanty	2021	Routledge
Machine Learning with PySpark: With Natural Language Processing and Recommender Systems	Pramod Singh	1st ed.	Apress
Machine Learning with PySpark: With Natural Language Processing and Recommender Systems	Pramod Singh	2nd ed.	Apress
Recommender Systems for Technology Enhanced Learning: Research Trends and Applications	Nikos Manouselis; Hendrik Drachsler; Katrien Verbert; Olga C. Santos	2014	Springer New York
Big Data Recommender Systems: Application Paradigms (Computing and Networks)	Osman Khalid (editor), Samee U. Khan (editor), Albert Y. Zomaya (editor)	2019	The Institution of Engineering and Technology
Machine Learning Paradigms: Advances in Data Analytics	George A. Tsihrintzis; Dionisios N. Sotiropoulos; Lakhmi C. Jain	1st ed. 2019	Springer International Publishing
Deep Learning and IoT in Healthcare Systems: Paradigms and Applications	Krishna Kant Singh; Akansha Singh; Jenn-Wei Lin; Ahmed A. Elngar	2021	Routledge
Recommender System with Machine Learning and Artificial Intelligence - Applications in Medical, Agricultural & Other Ind	Sachi Nandan Mohanty; Sarika Jain; Priya Gupta; Jyotir Moy Chatterjee; Ahmed A. Elngar	2020	John Wiley & Sons
Recommender Systems	Ghislaine Chartron; Imad Saleh; G�rald Kembellec	2014	John Wiley & Sons
Machine Learning Paradigms: Theory and Application	Aboul Ella Hassanien	1st ed. 2019	Springer International Publishing
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges	Aboul Ella Hassanien; Ashraf Darwish	1st ed. 2021	Springer International Publishing
Ensembles in Machine Learning Applications	Oleg Okun; Giorgio Valentini; Matteo Re	2011	Springer Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Machine Learning Paradigms	Dionisios N. Sotiropoulos; George A. Tsihrintzis	Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization	Dionisios N. Sotiropoulos; George A. Tsihrintzis	1st ed. 2017	Springer International Publishing
Machine Learning Paradigms	Neeraj Kumar; Aaisha Makkar	Machine Learning in Cognitive IoT	Neeraj Kumar; Aaisha Makkar	2020	Routledge
Machine Learning Paradigms	Maria Virvou; Efthimios Alepis; George A. Tsihrintzis; Lakhmi C. Jain	Machine Learning Paradigms: Advances in Learning Analytics	Maria Virvou; Efthimios Alepis; George A. Tsihrintzis; Lakhmi C. Jain	1st ed. 2020	Springer International Publishing
Recommender Systems Algorithm Selection Using Machine Learning	Nikolaos Polatidis; Stelios Kapetanakis; Elias Pimenidis	Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021	Lazaros Iliadis; John Macintyre; Chrisina Jayne; Elias Pimenidis	1st ed. 2021	Springer International Publishing
Active Learning in Recommender Systems	Neil Rubens; Mehdi Elahi; Masashi Sugiyama; Dain Kaplan	Recommender Systems Handbook	Francesco Ricci; Lior Rokach; Bracha Shapira	2nd ed. 2015	Springer US
Active Learning in Recommender Systems	Neil Rubens; Dain Kaplan; Masashi Sugiyama	Recommender Systems Handbook	Francesco Ricci; Lior Rokach; Bracha Shapira; Paul B. Kantor	2011	Springer US
Exploratory Study of Machine Learning Algorithms in Recommender Systems	Favour Onotse Momoh; Sandip Rakshit; Narasimha Rao Vajjhala	Proceedings of International Conference on Advanced Computing Applications: ICACA 2021	Jyotsna Kumar Mandal; Rajkumar Buyya; Debashis De	1st ed. 2022	Springer Nature Singapore
Applications of Recommender Systems		Building Recommender Systems with Machine Learning and AI: Help people discover new products and content with deep learning, neural networks, and machine learning recommendations.	Frank Kane	2021	Sundog Education
Applications of recommender systems		Raspberry Pi 3 Cookbook for Python Programmers -	Tim Cox; Steven Fernandes	2018	Packt Publishing
Applications of recommender systems		Raspberry Pi 3 Cookbook for Python Programmers - Third Edition	Tim Cox, Dr. Steven Lawrence Fernandes	2018
Machine Learning Approaches to Hybrid Music Recommender Systems	Andreu Vall; Gerhard Widmer	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III	Ulf Brefeld; Edward Curry; Elizabeth Daly; Brian MacNamee; Alice Marascu; Fabio Pinelli; Michele Berlingerio; Neil Hurley	1st ed. 2019	Springer International Publishing
Applications in Machine Learning		Data Science for Modern Manufacturing	Li Ping Chu	2016	O'Reilly
Applications in Machine Learning		Particle Swarm Optimization and Intelligence: Advances and Applications (Premier Reference Source)	Konstantinos E. Parsopoulos, Michael N. Vrahatis	2010	Information Science Publishing
Machine Learning Applications to Power Systems	Nikolaos Hatziargyriou	Machine Learning and Its Applications: Advanced Lectures	Georgios Paliouras; Vangelis Karkaletsis; Constantine D. Spyropoulos	2001	Springer Berlin Heidelberg
Machine Learning Paradigms: Introduction to Deep Learning-Based Technological Applications	George A. Tsihrintzis; Lakhmi C. Jain	Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications	George A. Tsihrintzis; Lakhmi C. Jain	1st ed. 2020	Springer International Publishing
Learning Preference Models in Recommender Systems	Marco de Gemmis; Leo Iaquinta; Pasquale Lops; Cataldo Musto; Fedelucio Narducci; Giovanni Semeraro	Preference Learning	Johannes Fürnkranz; Eyke Hüllermeier	2011	Springer Berlin Heidelberg
Adaptive Active Learning in Recommender Systems	Mehdi Elahi	User Modeling, Adaptation and Personalization: 19th International Conference, UMAP 2011, Girona, Spain, July 11-15, 2011	Joseph Konstan; Ricardo Conejo; Jose L. Marzo; Nuria Oliver	2011	Springer Berlin Heidelberg
Recommender Systems in E-Learning Environments	Aleksandra Klašnja-Milićević; Boban Vesin; Mirjana Ivanović; Zoran Budimac; Lakhmi C. Jain	E-Learning Systems: Intelligent Techniques for Personalization	Aleksandra Klašnja-Milićević; Boban Vesin; Mirjana Ivanović; Zoran Budimac; Lakhmi C. Jain	1st ed. 2017	Springer International Publishing
Recommender Systems in Technology Enhanced Learning	Nikos Manouselis; Hendrik Drachsler; Riina Vuorikari; Hans Hummel; Rob Koper	Recommender Systems Handbook	Francesco Ricci; Lior Rokach; Bracha Shapira; Paul B. Kantor	2011	Springer US
19 - Transfer Learning in Recommender Systems		Transfer Learning	Qiang Yang; Yu Zhang; Wenyuan Dai; Sinno Jialin Pan	2020-02	Cambridge University Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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