Please use this identifier to cite or link to this item: http://172.22.28.37:8080/xmlui/handle/123456789/1396
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dc.contributor.authorMane, Seema Ramchandra-
dc.date.accessioned2023-11-01T09:37:25Z-
dc.date.available2023-11-01T09:37:25Z-
dc.date.issued2022-
dc.identifier.urihttp://172.22.28.37:8080/xmlui/handle/123456789/1396-
dc.descriptionUnder the Supervision of Prof. Ashwini Patilen_US
dc.description.abstractRecommender system is one of the most critical research areas in today’s world because it helps users to find their interest in the internet. Due to the exponential growth of data every day on the internet, it has become a pervasive problem of information overload and finding relevant information. In recent years, it has become a widespread technique used by many e-commerce applications, such as article recommendations, movie recommendations, product recommendations, music recommendations to provide the right information to their customers In general, recommendation systems have been classified into collaborative and content-based filtering.en_US
dc.language.isoenen_US
dc.publisherRIT Autonomousen_US
dc.titleContent-based Research Paper Recommendation (C-RPR) System using Deep Learningen_US
dc.typeOtheren_US
Appears in Collections:M.Tech Computer Science & Engineering

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