Loading…
Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning
Saved in:
Published in: | Computers, materials & continua materials & continua, 2022, Vol.72 (3), p.4983-4997 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c285t-20fb98eb64304dfbb59049e689063cd2fe44de5ec8622b2ff81f29f85dc896023 |
---|---|
cites | cdi_FETCH-LOGICAL-c285t-20fb98eb64304dfbb59049e689063cd2fe44de5ec8622b2ff81f29f85dc896023 |
container_end_page | 4997 |
container_issue | 3 |
container_start_page | 4983 |
container_title | Computers, materials & continua |
container_volume | 72 |
creator | Hong Lee, Seon Lee, Haein Hyun Kim, Jang |
description | |
doi_str_mv | 10.32604/cmc.2022.027943 |
format | article |
fullrecord | <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_32604_cmc_2022_027943</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_32604_cmc_2022_027943</sourcerecordid><originalsourceid>FETCH-LOGICAL-c285t-20fb98eb64304dfbb59049e689063cd2fe44de5ec8622b2ff81f29f85dc896023</originalsourceid><addsrcrecordid>eNot0M1KxDAUBeAsFBxH9y7zAq23N2lMljKMP1BRmJmllDS9mUacVpI64ttbrasD58BZfIxdFZALVCCv3cHlCIg54I2R4oQtilKqDBHVGTtP6Q1AKGFgwV7XfWd7F_o9HzviL5Ha4MYw9HzwfJco8o0dQ_J2Lr_C2PEnGu2RYiK-oXgMjvi2i8Pnflqs60JPvCIb--nzgp16-57o8j-XbHe33q4esur5_nF1W2UOdTlmCL4xmholBcjWN01pQBpS2oASrkVPUrZUktMKsUHvdeHReF22ThsFKJYM5l8Xh5Qi-fojhoON33UB9R9JPZHUvyT1TCJ-ADvkWAs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning</title><source>Publicly Available Content Database</source><creator>Hong Lee, Seon ; Lee, Haein ; Hyun Kim, Jang</creator><creatorcontrib>Hong Lee, Seon ; Lee, Haein ; Hyun Kim, Jang</creatorcontrib><identifier>ISSN: 1546-2226</identifier><identifier>DOI: 10.32604/cmc.2022.027943</identifier><language>eng</language><ispartof>Computers, materials & continua, 2022, Vol.72 (3), p.4983-4997</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c285t-20fb98eb64304dfbb59049e689063cd2fe44de5ec8622b2ff81f29f85dc896023</citedby><cites>FETCH-LOGICAL-c285t-20fb98eb64304dfbb59049e689063cd2fe44de5ec8622b2ff81f29f85dc896023</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Hong Lee, Seon</creatorcontrib><creatorcontrib>Lee, Haein</creatorcontrib><creatorcontrib>Hyun Kim, Jang</creatorcontrib><title>Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning</title><title>Computers, materials & continua</title><issn>1546-2226</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNot0M1KxDAUBeAsFBxH9y7zAq23N2lMljKMP1BRmJmllDS9mUacVpI64ttbrasD58BZfIxdFZALVCCv3cHlCIg54I2R4oQtilKqDBHVGTtP6Q1AKGFgwV7XfWd7F_o9HzviL5Ha4MYw9HzwfJco8o0dQ_J2Lr_C2PEnGu2RYiK-oXgMjvi2i8Pnflqs60JPvCIb--nzgp16-57o8j-XbHe33q4esur5_nF1W2UOdTlmCL4xmholBcjWN01pQBpS2oASrkVPUrZUktMKsUHvdeHReF22ThsFKJYM5l8Xh5Qi-fojhoON33UB9R9JPZHUvyT1TCJ-ADvkWAs</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Hong Lee, Seon</creator><creator>Lee, Haein</creator><creator>Hyun Kim, Jang</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2022</creationdate><title>Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning</title><author>Hong Lee, Seon ; Lee, Haein ; Hyun Kim, Jang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c285t-20fb98eb64304dfbb59049e689063cd2fe44de5ec8622b2ff81f29f85dc896023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Hong Lee, Seon</creatorcontrib><creatorcontrib>Lee, Haein</creatorcontrib><creatorcontrib>Hyun Kim, Jang</creatorcontrib><collection>CrossRef</collection><jtitle>Computers, materials & continua</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hong Lee, Seon</au><au>Lee, Haein</au><au>Hyun Kim, Jang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning</atitle><jtitle>Computers, materials & continua</jtitle><date>2022</date><risdate>2022</risdate><volume>72</volume><issue>3</issue><spage>4983</spage><epage>4997</epage><pages>4983-4997</pages><issn>1546-2226</issn><doi>10.32604/cmc.2022.027943</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1546-2226 |
ispartof | Computers, materials & continua, 2022, Vol.72 (3), p.4983-4997 |
issn | 1546-2226 |
language | eng |
recordid | cdi_crossref_primary_10_32604_cmc_2022_027943 |
source | Publicly Available Content Database |
title | Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T19%3A40%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Enhancing%20the%20Prediction%20of%20User%20Satisfaction%20with%20Metaverse%20Service%20Through%20Machine%20Learning&rft.jtitle=Computers,%20materials%20&%20continua&rft.au=Hong%20Lee,%20Seon&rft.date=2022&rft.volume=72&rft.issue=3&rft.spage=4983&rft.epage=4997&rft.pages=4983-4997&rft.issn=1546-2226&rft_id=info:doi/10.32604/cmc.2022.027943&rft_dat=%3Ccrossref%3E10_32604_cmc_2022_027943%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c285t-20fb98eb64304dfbb59049e689063cd2fe44de5ec8622b2ff81f29f85dc896023%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |