Recommended system used in various domains such as online booking, online shopping, and audio and video recommendations, generates personalized preferences to support decision-making for users
2025-03-28
专利权人PRABHA N C (PRAB-Individual) ; SHUKLA R (SHUK-Individual) ; RATURI S (RATU-Individual) ; AABI P A (AABI-Individual) ; PIRAKATHEESWARI P (PIRA-Individual) ; GUPTA P K (GUPT-Individual) ; KAVITHA A (KAVI-Individual) ; RAMESH P (RAME-Individual) ; SARAVANAN E (SARA-Individual) ; SIVAPRIYA S (SIVA-Individual)
申请日期2025-03-28
专利号IN202541030172-A
成果简介NOVELTY - The system generates personalized preferences to support decision-making for users. The increasing number of users and choices available has made the task of providing relevant recommendations more challenging. The recommender provides personalized documents, merchandise, and services to fulfill user requirements in information retrieval, ecommerce, and online services. USE - Recommended system used in various domains such as online booking, online shopping, and audio and video recommendations. ADVANTAGE - The system enables adding regularization to the cost function to prevent overfitting and encourage smaller parameter values, thus improving the generalization performance of the model. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of the recommended system.
IPC 分类号G06F-016/9535 ; G06Q-030/02 ; H04H-060/46 ; H04L-067/50 ; H04N-021/466
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/13416
专题中国科学院新疆生态与地理研究所
作者单位
1.PRABHA N C (PRAB-Individual)
2.SHUKLA R (SHUK-Individual)
3.RATURI S (RATU-Individual)
4.AABI P A (AABI-Individual)
5.PIRAKATHEESWARI P (PIRA-Individual)
6.GUPTA P K (GUPT-Individual)
7.KAVITHA A (KAVI-Individual)
8.RAMESH P (RAME-Individual)
9.SARAVANAN E (SARA-Individual)
10.SIVAPRIYA S (SIVA-Individual)
推荐引用方式
GB/T 7714
PRABHA N C,SHUKLA R,RATURI S,et al. Recommended system used in various domains such as online booking, online shopping, and audio and video recommendations, generates personalized preferences to support decision-making for users. IN202541030172-A[P]. 2025.
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