Deep Learning for Data Science in Recommender Systems

Anushka Sharma Sharma, Mr. Krishan Kumar, Mr. Krishan Kumar

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Abstract

Recommender systems are essential for personalizing experiences in sectors like e-commerce, entertainment, and social media. Traditional algorithms, such as collaborative and content-based filtering, face limitations like data sparsity and cold-start issues. This paper explores the use of deep learning modelsnamely Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and autoencodersto address these challenges and enhance recommendation accuracy and user engagement.

Paper Details
Paper ID: IJPREMS41100051165
ISSN: 2321-9653
Publisher: ijprems
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