MovieDIRec: Drafted-Input-Based Recommendation System for Movies

In a DNN-based recommendation system, the input selection of a model and design of an appropriate input are very important in terms of the accuracy and reflection of complex user preferences. Since the learning of layers by the goal of the model depends on the input, the more closely the input is re...

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Autores principales:	Hyeonwoo An, Daeyeol Kim, Kwangkee Lee, Nammee Moon
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	MovieDIRec drafted-input personalized recommendation system Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/f5cbe709ee1240ce80582c6cb6a6ed3b
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id	oai:doaj.org-article:f5cbe709ee1240ce80582c6cb6a6ed3b
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spelling	oai:doaj.org-article:f5cbe709ee1240ce80582c6cb6a6ed3b2021-11-11T15:24:03ZMovieDIRec: Drafted-Input-Based Recommendation System for Movies10.3390/app1121104122076-3417https://doaj.org/article/f5cbe709ee1240ce80582c6cb6a6ed3b2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10412https://doaj.org/toc/2076-3417In a DNN-based recommendation system, the input selection of a model and design of an appropriate input are very important in terms of the accuracy and reflection of complex user preferences. Since the learning of layers by the goal of the model depends on the input, the more closely the input is related to the goal, the less the model needs to learn unnecessary information. In relation to this, the term Drafted-Input, defined in this paper, is input data that have been appropriately selected and processed to meet the goals of the system, and is a subject that is updated while continuously reflecting user preferences along with the learning of model parameters. In this paper, the effects of properly designed and generated inputs on accuracy and usability are verified using the proposed systems. Furthermore, the proposed method and user–item interaction are compared with state-of-the-art systems using simple embedding data as the input, and a model suitable for a practical client–server environment is also proposed.Hyeonwoo AnDaeyeol KimKwangkee LeeNammee MoonMDPI AGarticleMovieDIRecdrafted-inputpersonalized recommendation systemTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10412, p 10412 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MovieDIRec drafted-input personalized recommendation system Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	MovieDIRec drafted-input personalized recommendation system Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Hyeonwoo An Daeyeol Kim Kwangkee Lee Nammee Moon MovieDIRec: Drafted-Input-Based Recommendation System for Movies
description	In a DNN-based recommendation system, the input selection of a model and design of an appropriate input are very important in terms of the accuracy and reflection of complex user preferences. Since the learning of layers by the goal of the model depends on the input, the more closely the input is related to the goal, the less the model needs to learn unnecessary information. In relation to this, the term Drafted-Input, defined in this paper, is input data that have been appropriately selected and processed to meet the goals of the system, and is a subject that is updated while continuously reflecting user preferences along with the learning of model parameters. In this paper, the effects of properly designed and generated inputs on accuracy and usability are verified using the proposed systems. Furthermore, the proposed method and user–item interaction are compared with state-of-the-art systems using simple embedding data as the input, and a model suitable for a practical client–server environment is also proposed.
format	article
author	Hyeonwoo An Daeyeol Kim Kwangkee Lee Nammee Moon
author_facet	Hyeonwoo An Daeyeol Kim Kwangkee Lee Nammee Moon
author_sort	Hyeonwoo An
title	MovieDIRec: Drafted-Input-Based Recommendation System for Movies
title_short	MovieDIRec: Drafted-Input-Based Recommendation System for Movies
title_full	MovieDIRec: Drafted-Input-Based Recommendation System for Movies
title_fullStr	MovieDIRec: Drafted-Input-Based Recommendation System for Movies
title_full_unstemmed	MovieDIRec: Drafted-Input-Based Recommendation System for Movies
title_sort	moviedirec: drafted-input-based recommendation system for movies
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f5cbe709ee1240ce80582c6cb6a6ed3b
work_keys_str_mv	AT hyeonwooan moviedirecdraftedinputbasedrecommendationsystemformovies AT daeyeolkim moviedirecdraftedinputbasedrecommendationsystemformovies AT kwangkeelee moviedirecdraftedinputbasedrecommendationsystemformovies AT nammeemoon moviedirecdraftedinputbasedrecommendationsystemformovies
_version_	1718435405973422080

MovieDIRec: Drafted-Input-Based Recommendation System for Movies

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