Matrix Factorization Based Recommendation System using Hybrid Optimization Technique

Matrix Factorization Based Recommendation System using Hybrid Optimization Technique

In this paper, a matrix factorization recommendation algorithm is used to recommend items to the user by inculcating a hybrid optimization technique that combines Alternating Least Squares (ALS) and Stochastic Gradient Descent (SGD) in the advanced stage and compares the two indiv...

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Dettagli Bibliografici
Autori principali: P. Rao, T.V. Rao, Suresh Kurumalla, Bethapudi Prakash
Natura: Articolo
Lingua:English
Pubblicazione: European Alliance for Innovation (EAI) 2021-09-01
Serie:EAI Endorsed Transactions on Energy Web
Soggetti:
matrix factorization
als
sgd
optimization
recommendation system
latent factor
collaborative filtering
Accesso online:https://eudl.eu/pdf/10.4108/eai.19-2-2021.168725

Accesso online

https://eudl.eu/pdf/10.4108/eai.19-2-2021.168725

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