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Volume 8, Issue 11 (November 2022)

A Unified Solution To Challenges In Recommendation Systems - Cold Start & Data Sparsity

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Volume 12 Issue 07

July 2026

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Author(s)

Prof. Anagha Chaudhari Mugdha Kshirsagar Rugved Kulkarni

Abstract

By Utilizing A Subset Of Information Filtering Systems Called Recommender Systems, It Is Feasible To Prevent Information Overload, Review A Large Amount Of Data, And Choose Data That Is Particular To Each User. Several Internet Juggernauts, Such As Amazo


Keywords

(KNN) (SVD) - Approach Cold-Start Collaborative Cosine Data Decomposition Factorization Filtering(CF) K-Nearest Matrix Measures Model-based Neighbours Recommendation Similarity Similarity. Singular Sparsity Systems Value

Paper ID

IJSARTV8I1156969

Publication Date

November 23, 2022

Research Area

Computer Engineering

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