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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23479
Article Published : 9055
Total Authors : 24029
Total Reviewer : 831
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| Paper Title: | E-COMMERCE RECOMMENDATION SYSTEM |
| Authors Name: | LIKHITHA R |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_210610
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| Published Paper Id: | IJRTI2603114 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | In today's online retail environment, consumers are exposed to a vast number of products, which often makes selecting suitable items difficult. To mitigate this information overload, recommendation engines have emerged as vital infrastructure for e-commerce platforms. These systems synthesize diverse data points—ranging from historical purchase records to real-time behavioural patterns—to curate bespoke product selections for individual users. While traditional methodologies like content-based and collaborative filtering remain foundational, developers still struggle with persistent obstacles such as sparse datasets, system scalability, and the "cold-start" phenomenon for new users. This review provides a systematic analysis of current algorithmic advancements and evaluation frameworks within the field. By identifying existing research gaps and performance limitations, this study outlines a roadmap for the next generation of personalized shopping technologies. |
| Keywords: | Recommender Systems, E-commerce Personalization, Hybrid Recommendation Models, Collaborative Filtering, Matrix Factorization, Singular Value Decomposition (SVD), Cold-start Problem, Scalability. |
| Cite Article: | "E-COMMERCE RECOMMENDATION SYSTEM ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.b86-b94, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603114.pdf |
| Downloads: | 00078 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2603114
Registration ID:210610
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: b86-b94 Country: BENGALURU URBAN, KARNATAKA, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603114 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603114 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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