ItemConference Paper

Content-Based Product Recommendation SystemsReview

Title
Content-Based Product Recommendation SystemsReview
Creator
Ramachandran, Siddharth; Maria Deepti, T.T.; Vinodha, D.; Jenefa, J.; Mary Anita, E.A.; Lapina, Maria
Description
Content-based recommendation systems have become essential for improving user experiences in e-commerce and various digital platforms. This review paper examines the recent advancements in content-based recommendation systems, focusing on machine learning techniques and models used to personalise user interactions. The paper also explores the role of deep learning and hybrid approaches in increasing the accuracy and relevance of recommendations. Despite significant progress, the product recommendation systems face challenges such as capturing complex user preferences, ensuring scalability, addressing the cold start problem, and improving explainability which remains crucial and requires further research. This paper offers a comprehensive overview of current methodologies, identifies existing limitations, and suggests future directions to optimise content-based recommendation systems to provide more effective and reliable recommendations. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Source
Lecture Notes in Networks and Systems;Volume;1277 LNNS;pp.489-501
Date
01-01-2025
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Content-based recommendation system; Deep learning; Natural language processing
Coverage
Ramachandran S., CHRIST (Deemed to be University), Bangalore, India; Maria Deepti T.T., CHRIST (Deemed to be University), Bangalore, India; Vinodha D., CHRIST (Deemed to be University), Bangalore, India; Jenefa J., CHRIST (Deemed to be University), Bangalore, India; Mary Anita E.A., CHRIST (Deemed to be University), Bangalore, India; Lapina M., North-Caucasus Federal University, Stavropol, Russian Federation
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-981962699-1;
Format
online
Language
English
Type
Conference paper

Citation

Ramachandran, Siddharth; Maria Deepti, T.T.; Vinodha, D.; Jenefa, J.; Mary Anita, E.A.; Lapina, Maria, “Content-Based Product Recommendation SystemsReview,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25495.

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