Comparison of Similarity Measure Using Density Peak Clustering For Collaborative Filtering Techniques

Dr. S. Shajun Nisha, B.Rajeswari

Page No: 30-39

DOI: 10.86493/VEREDAS.2025/V15I7/05

Collaborative Filtering (CF) filters the flow of data that can be recommended, by a Recommendation System (RS), to a target user according to his taste and his preferences. The target user’s profile is built based on his similarity with other users. For this reason, CF technique is very sensitive to the similarity measure used to quantify the dependency strength between two users (or two items). In this paper compared two different types of similarity measures and find the best similarity techniques used for CF-based recommendation system. For each measure, we outline its fundamental background and we test its performance through an experimental study. Experiments are carried out on standard datasets (MovieLens100k) and reveal many important conclusions. Find the best similarity techniques for clustering algorithm in CF method.

Citations

APA: Dr. S. Shajun Nisha, B.Rajeswari (2025). Comparison of Similarity Measure Using Density Peak Clustering For Collaborative Filtering Techniques. DOI: 10.86493/VEREDAS.2025/V15I7/05

AMA: Dr. S. Shajun Nisha, B.Rajeswari. Comparison of Similarity Measure Using Density Peak Clustering For Collaborative Filtering Techniques. 2025. DOI: 10.86493/VEREDAS.2025/V15I7/05

Chicago: Dr. S. Shajun Nisha, B.Rajeswari. "Comparison of Similarity Measure Using Density Peak Clustering For Collaborative Filtering Techniques." Published 2025. DOI: 10.86493/VEREDAS.2025/V15I7/05

IEEE: Dr. S. Shajun Nisha, B.Rajeswari, "Comparison of Similarity Measure Using Density Peak Clustering For Collaborative Filtering Techniques," 2025, DOI: 10.86493/VEREDAS.2025/V15I7/05

ISNAD: Dr. S. Shajun Nisha, B.Rajeswari. "Comparison of Similarity Measure Using Density Peak Clustering For Collaborative Filtering Techniques." DOI: 10.86493/VEREDAS.2025/V15I7/05

MLA: Dr. S. Shajun Nisha, B.Rajeswari. "Comparison of Similarity Measure Using Density Peak Clustering For Collaborative Filtering Techniques." 2025, DOI: 10.86493/VEREDAS.2025/V15I7/05