
Recommendation System Using Matrix Factorization
Author(s) -
Tejashree More,
Prof. Surekha Kohle
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - Uncategorized
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.46615
Subject(s) - collaborative filtering , recommender system , computer science , information overload , matrix decomposition , volume (thermodynamics) , the internet , product (mathematics) , quality (philosophy) , sparse matrix , information retrieval , data mining , world wide web , mathematics , philosophy , eigenvalues and eigenvectors , physics , geometry , epistemology , quantum mechanics , gaussian