An Intelligent Music Recommendation Framework for Multimedia Big Data: A Journey of Entertainment Industry

[1]  Vincent S. Tseng,et al.  A Personalized Music Recommender System Using User Contents, Music Contents and Preference Ratings , 2020, Vietnam. J. Comput. Sci..

[2]  Mark-David McLaughlin,et al.  Movie Analytics: A Hollywood Introduction to Big Data , 2015 .

[3]  Rasha Kashef,et al.  Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities , 2020, Applied Sciences.

[4]  Gang Hua,et al.  Multimedia Big Data Computing , 2015, IEEE Multim..

[5]  Masataka Goto,et al.  An Efficient Hybrid Music Recommender System Using an Incrementally Trainable Probabilistic Generative Model , 2008, IEEE Transactions on Audio, Speech, and Language Processing.

[6]  Manash Sarkar,et al.  Visualization of COVID-19 Pandemic: An Analysis Through Machine Intelligent Technique Toward Big Data Paradigm , 2021 .

[7]  Ralf Peeters,et al.  Detection of Spatio-Temporal Recurrent Patterns in Dynamical Systems , 2019, Front. Appl. Math. Stat..

[8]  Cees T. A. M. de Laat,et al.  Big Security for Big Data: Addressing Security Challenges for the Big Data Infrastructure , 2013, Secure Data Management.

[9]  Dimitrios N. Serpanos,et al.  Evolution and challenges in multimedia , 1998, IBM J. Res. Dev..

[10]  Diego Sánchez-Moreno,et al.  Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach , 2020, Applied Sciences.

[11]  Arbee L. P. Chen,et al.  A Music Recommendation System Based on Music and User Grouping , 2005, Journal of Intelligent Information Systems.

[12]  Braja Gopal Patra,et al.  Retrieving Similar Lyrics for Music Recommendation System , 2017, ICON.

[13]  John O'Donovan,et al.  Moodplay: Interactive music recommendation based on Artists' mood similarity , 2019, Int. J. Hum. Comput. Stud..

[14]  Yunkyoung Lee,et al.  RECOMMENDATION SYSTEM USING COLLABORA TIVE FILTERING , 2015 .

[15]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[16]  Murtadha Sami Luaibi Al-Maliki,et al.  User based hybrid algorithms for music recommendation systems , 2018 .

[17]  Mohamed Helmy Khafagy,et al.  Two Recommendation System Algorithms Used SVD And Association Rule On Implicit And Explicit Data Sets , 2020 .

[18]  Alexandra L. Uitdenbogerd,et al.  Combining Demographic Data with Collaborative Filtering for Automatic Music Recommendation , 2005, KES.

[19]  T. Adilakshmi,et al.  Music Recommendation System with User-based and Item-based Collaborative Filtering Technique , 2017, Indonesian Journal of Electrical Engineering and Informatics (IJEEI).

[20]  Elena Shakirova,et al.  Collaborative filtering for music recommender system , 2017, 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

[21]  Alireza Askarzadeh,et al.  A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm , 2016 .

[22]  Jenhui Chen,et al.  An Emotion-Aware Personalized Music Recommendation System Using a Convolutional Neural Networks Approach , 2018, Applied Sciences.

[23]  Derwin Suhartono,et al.  Music Recommender System Based on Genre using Convolutional Recurrent Neural Networks , 2019, Procedia Computer Science.

[24]  Tobias Karlsson,et al.  Music Recommendations Based on Real-Time Data , 2018 .

[25]  Arup Roy,et al.  Exploring New Vista of intelligent collaborative filtering: A restaurant recommendation paradigm , 2018, J. Comput. Sci..

[26]  Jenhui Chen,et al.  A personalized music recommendation system using convolutional neural networks approach , 2018, 2018 IEEE International Conference on Applied System Invention (ICASI).

[27]  Markus Schedl,et al.  Deep Learning in Music Recommendation Systems , 2019, Front. Appl. Math. Stat..

[28]  Chris Dede.  The future of multimedia: bridging to virtual worlds , 1992 .

[29]  Vincent S. Tseng,et al.  Personalized Music Recommendation by Mining Social Media Tags , 2013, KES.

[30]  Bruce Ferwerda,et al.  Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal , 2014, UMAP Workshops.