What are convolutional neural networks (CNNs) used for in recommendation systems?

Dec 9, 2022 ... Recommendation systems (RS) suggest the right item to the right user. It predicts the user's rating to an item and based on this rating RS ... In this paper, we have proposed and implemented a novel blockchain and machine learning-based drug supply chain management and recommendation system (DSCMR). Feb 13, 2023 ... The proposed collaborative filtering (CF) method categorizes active learners into one learner group. The proposed model has experimented on ... Feb 1, 2024 ... This paper tries to make a detailed overview of the existing machine learning algorithms in optimizing personalized education recommendation system. This system uses different sensors for extracting data continuously regarding temperature, PH and Turbidity etc. These parameters can be analysed in real-time ... We evaluate our query by humming system using the standard MIREX QBSH dataset. We also propose a similar artist recommendation system which recommends similar ... Recommended Citation. Bommireddy, Durga Rajesh, "Recommendation System using machine learning for fertilizer prediction" (2024). Electronic Theses, Projects, ... Nov 20, 2021 ... Abstract. Deep learning has profoundly impacted many areas of machine learning. However, it took a while for its impact to be felt in the field ... Aug 16, 2021 ... Driven by the automated configuration, coordination, and management of machine learning predictive analytics algorithms, the recommendation ... Explore and run machine learning code with Kaggle Notebooks | Using data from Articles sharing and reading from CI&T DeskDrop.