Music recommendation system using human face emotion detection, has tailored music recommendations created in line with the user emotional context using collaborative filtering and content-based filtering
	SIVARAMAN; AKKULA R H V; AKULA R S; ALAKANTI R S P; ALETI R T; KUMARI N R G
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069559-A
成果简介	NOVELTY - The system has cutting-edge machine learning (ML) techniques with human facial emotion detection for determining user emotional state e.g. happiness, sadness, or excitement by analyzing facial expressions using computer vision algorithms and deep learning models e.g. a combination of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to capture spatial and temporal information in facial expressions. Tailored music recommendations are created in line with the user's emotional context using collaborative filtering and content-based filtering. A real-world dataset is used to test the suggested method's usefulness in providing correct and pertinent music selections, combines fusion of emotion detection and music suggestion and creates opportunities for emotionally intelligent and engaging music experiences to improve user experience. USE - Music recommendation system using human face emotion detection. ADVANTAGE - The system asserts the ability to accurately detect fake account profiles using neural networks and ML techniques, leverages comprehensive analysis of user attributes, activities and patterns, provides real-time monitoring capabilities for prompt identification and action against fraudulent accounts, provides user-friendly interface which enables easy interaction and understanding of analysis results, empowers users and administrators to effectively manage fake account profiles, emphasizes user privacy by collecting only necessary data, ensures compliance with privacy regulations to protect sensitive information and strives to enhance the security and trustworthiness of online social networks by combating fraudulent activities.
IPC 分类号	G06F-016/635 ; G06K-009/62 ; G06N-003/04 ; G06N-003/08 ; G10L-025/63
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19575
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	SIVARAMAN,AKKULA R H V,AKULA R S,et al. Music recommendation system using human face emotion detection, has tailored music recommendations created in line with the user emotional context using collaborative filtering and content-based filtering. IN202341069559-A[P]. 2023.

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