Results 11 to 20 of about 373,757 (250)

Content based movie recommendation system [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2020
Recommendation based systems can be used for recommending different web page, books, restaurants, tv shows, movies etc. The aim of movie recommendation system is to recommend movies to different users based on their interests. This helps the user to save
N. Pradeep   +4 more
doaj   +1 more source

Recommendation System Using Autoencoders

open access: yesApplied Sciences, 2020
The magnitude of the daily explosion of high volumes of data has led to the emergence of the Big Data paradigm. The ever-increasing amount of information available on the Internet makes it increasingly difficult for individuals to find what they need ...
Diana Ferreira   +3 more
doaj   +1 more source

Recommender Systems [PDF]

open access: yes, 2015
The purpose of this chapter is to describe a software system that allows for discovering non-traditional education resources such as software applications, events or people who may participate as experts in some Learning Activity. Selecting the more suitable educational resources to create learning activities in the classroom may be a challenging task ...
Anido Rifón, Luis Eulogio   +12 more
openaire   +2 more sources

HybridBERT4Rec: A Hybrid (Content-Based Filtering and Collaborative Filtering) Recommender System Based on BERT

open access: yesIEEE Access, 2022
Because a user’s behavior depends mainly on the user’s current interests, which can change over time, the sequential recommendation approach has become more prevalent in recommender systems. Many methods have been proposed that aim to model
Chanapa Channarong   +3 more
doaj   +1 more source

Recommendation System

open access: yesInternational Journal of Artificial Intelligence and Machine Learning, 2021
The most challenging problem in human resources specially in the IT digital services company, is to assign the best collaborator’s in the adequate project , then ensure the delivery’s performance.in this paper we aim to develop à recommandation System using based-content and collaborative filtering in order to recommend potential profiles for a new job
openaire   +3 more sources

Music Recommendation System

open access: yesJournal of Telecommunications and Information Technology, 2014
The paper focuses on optimization vector content feature for the music recommendation system. For the purpose of experiments a database is created consisting of excerpts of music files.
Bożena Kostek   +3 more
doaj   +1 more source

Recommended System

open access: yesInternational Journal of Advanced Research in Science, Communication and Technology, 2021
In this study searched for the survey paper on recommendation system. Recommendation system sorts through massive amounts of data to identify interest of users and makes the information search easier. For that purpose many methods have been used. Collaborative Filtering (CF) is a method of making automatic predictions about the interests of customers ...
Siddhesh Masrurkar   +2 more
openaire   +1 more source

Job Recommendation System Using Hybrid Filtering [PDF]

open access: yesITM Web of Conferences, 2022
As for today’s era, recruitment can be considered as one of most difficult process to undergo for job seeking candidate. Many fresher candidates face issue while job recruitment process to undergo which field of interest.
Mulay Aneesh   +4 more
doaj   +1 more source

Image Recommendation System Based on Environmental and Human Face Information

open access: yesSensors, 2023
With the advancement of computer hardware and communication technologies, deep learning technology has made significant progress, enabling the development of systems that can accurately estimate human emotions. Factors such as facial expressions, gender,
Hye-min Won, Yong Seok Heo, Nojun Kwak
doaj   +1 more source

Comparative Analysis of Collaborative Filtering on GraphLab, MLlib and Mahout

open access: yesJISR on Computing, 2015
Recommendation systems are used to recommend items or products to the user based on their previous purchases, visits, interests, ratings, wish lists or reviews to develop interest and to display the accurate and suitable items on board.
Abdul Samad, Saif-ur-Rahman
doaj   +1 more source

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