Comparative Study of Item-Based Collaborative Filtering Algorithms for Book Recommendation Systems

TThis study compares these algorithms in terms of their effectiveness in recommending books that are relevant to users. The KNN algorithm identifies the nearest neighbors of a given book based on user ratings, while SVD decomposes the user-item interaction matrix to capture latent features underlying the data.

Authors

Publication Details

Journal
Avalokiteshvara Journal of Artificial Intelligence (AJAI)
Published
2025-03-25
DOI
https://doi.org/10.63820/3049-3889.vol.1.issue.01.001
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Study of Item-Based Collaborative Filtering Algorithms for Book Recommendation Systems

Shradha Lipane
Avalokiteshvara Journal of Artificial Intelligence (AJAI)
Recommender Systems and Techniques
article

Comparative Study of Item-Based Collaborative Filtering Algorithms for Book Recommendation Systems

Shradha Lipane
article en

Abstract

TThis study compares these algorithms in terms of their effectiveness in recommending books that are relevant to users. The KNN algorithm identifies the nearest neighbors of a given book based on user ratings, while SVD decomposes the user-item interaction matrix to capture latent features underlying the data.

Avalokiteshvara Journal of Artificial Intelligence (AJAI)Vol. 1(1)
Openalex Percentile: Top 82%
Recommender Systems and Techniques
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Comparative Study of Item-Based Collaborative Filtering Algorithms for Book Recommendation Systems — Shradha Lipane · Avalokiteshvara Journal of Artificial Intelligence (AJAI) (2025) | TGRS Research Map | TGRS