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Title: :  Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network
PaperId: :  16446
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 2 2022
DUI:    16.0415/IJARIIE-16446
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Aishwarya R BDayanand Sagar Academy of Technology and Management
Aishwarya NDayanand Sagar Academy of Technology and Management
Anuka SushmaDayanand Sagar Academy of Technology and Management
Aryan KaulDayanand Sagar Academy of Technology and Management
Chaitra P CDayanand Sagar Academy of Technology and Management

Abstract

Computer Science and Engineering
emotion detection, face recognition, interaction, mood, extraction, recommendation, happy, sad, angry, CNN, facial landmark, histogram.
In the day-to-day stressful environment of the IT Industry, proper relaxation time is essential for all working professionals. To keep people stress-free, various technical and non-technical stress-relieving methods are currently being used. Administrators, programmers, and other computer users can be classified as administrators, programmers, and other computer users, each of whom requires a unique method of relaxation. A person's emotions can express workplace stress and vexation of any kind. The key to determining a person's current psychology is to observe their facial expressions. In this paper, we discuss a user-friendly smart music player. This player will capture a person's computer-related facial expressions and detect their current mood. Thanks to this music player, working professionals will be able to stay comfortable despite their heavy workloads. In recent years, several Internet companies have experimented with sentiment analysis to recommend content based on human emotions conveyed through informal language posted on social media. Sentiment analysis measures, on the other hand, simply classify a sentence's intensity as positive, neutral, or negative, and do not detect sentiment fluctuations based on the user's profile. User’s attitudes are derived from social media sentences, and the music recommendation engine is run on mobile devices using a simple framework that suggests songs based on the current user's sentiment intensity. Furthermore, the framework was designed with usability ergonomics in mind. The dataset is pre-loaded with both music and movies that can be changed based on the needs of the user, as many artists release songs or movies on a daily basis.

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IJARIIE Aishwarya R B, Aishwarya N, Anuka Sushma, Aryan Kaul, and Chaitra P C. "Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 2 2022 Page 1752-1756
MLA Aishwarya R B, Aishwarya N, Anuka Sushma, Aryan Kaul, and Chaitra P C. "Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network." International Journal Of Advance Research And Innovative Ideas In Education 8.2(2022) : 1752-1756.
APA Aishwarya R B, Aishwarya N, Anuka Sushma, Aryan Kaul, & Chaitra P C. (2022). Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network. International Journal Of Advance Research And Innovative Ideas In Education, 8(2), 1752-1756.
Chicago Aishwarya R B, Aishwarya N, Anuka Sushma, Aryan Kaul, and Chaitra P C. "Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 2 (2022) : 1752-1756.
Oxford Aishwarya R B, Aishwarya N, Anuka Sushma, Aryan Kaul, and Chaitra P C. 'Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, 2022, p. 1752-1756. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Emotion_Personalized__Music_and_Movie_Recommendation_system_using_Convolutional_Neural_Network_ijariie16446.pdf (Accessed : 15 June 2025).
Harvard Aishwarya R B, Aishwarya N, Anuka Sushma, Aryan Kaul, and Chaitra P C. (2022) 'Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network', International Journal Of Advance Research And Innovative Ideas In Education, 8(2), pp. 1752-1756IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Emotion_Personalized__Music_and_Movie_Recommendation_system_using_Convolutional_Neural_Network_ijariie16446.pdf (Accessed : 15 June 2025)
IEEE Aishwarya R B, Aishwarya N, Anuka Sushma, Aryan Kaul, and Chaitra P C, "Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, pp. 1752-1756, Mar-App 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Emotion_Personalized__Music_and_Movie_Recommendation_system_using_Convolutional_Neural_Network_ijariie16446.pdf [Accessed : 15 June 2025].
Turabian Aishwarya R B, Aishwarya N, Anuka Sushma, Aryan Kaul, and Chaitra P C. "Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 2 (15 June 2025).
Vancouver Aishwarya R B, Aishwarya N, Anuka Sushma, Aryan Kaul, and Chaitra P C. Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 15 June 2025]; 8(2) : 1752-1756. Available from: https://ijariie.com/AdminUploadPdf/Emotion_Personalized__Music_and_Movie_Recommendation_system_using_Convolutional_Neural_Network_ijariie16446.pdf
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