Recommendation System Using User-Based Collaborative Filtering and Spectral Clustering

Malim Muhammad

doi:10.4108/eai.17-7-2021.2312409

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Recommendation System Using User-Based Collaborative Filtering and Spectral Clustering

Malim Muhammad

Year: 2021

DOI: 10.4108/eai.17-7-2021.2312409

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Abstract

Recommendation systems are tools that can solve this problem by classifying people using User-Based Collaborative Filtering and Spectral Clustering approaches, resulting in more accurate recommendations. Preprocessing the data is the first step in the recommendation process, after which the data is

Keywords:

Collaborative filtering Computer science Cluster analysis Preprocessor Recommender system Spectral clustering Process (computing) Data mining Data pre-processing Information retrieval Artificial intelligence

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Data Mining and Machine Learning Applications

Physical Sciences → Computer Science → Information Systems

Recommendation System Using User-Based Collaborative Filtering and Spectral Clustering

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