SYM(分享你的错误)

Jyoti Gupta
{"title":"SYM(分享你的错误)","authors":"Jyoti Gupta","doi":"10.46610/jcscs.2022.v01i02.005","DOIUrl":null,"url":null,"abstract":"The motivation driving Project SYM is to confine the missteps in human existence. An extraordinary attestation is \"gain from your missteps'. Notwithstanding, this verbalization is restricted to messes up that we make. All things considered, on the off chance that we are advancing just from our staggers, we are committing another screw up. Why commit slip-ups and gain from them, when we can procure relative portrayal from others' goods additionally? So gain from your staggers as well as gain from others' missteps. In any case, the solicitation emerges where we can track down others' missteps? Considering everything, Project SYM is keeping close by for you. On Project SYM we urge clients to share their slip-ups and the portrayals they obtained from it in an all-around facilitated plan. We moreover reward clients who accomplish more likes on their MisCards. Project SYM is made dealing with all of the best in class highlights of any electronic redirection application. It solidifies posting MisCards, similar to, disdain, remark, recommendation and safe choice. Clients can turn on or off remarks on their MisCards. Follow button is moreover accessible. It moreover solidifies two or three progressed highlights like modified subject age from the MisCards text utilizing LDA (Latent Dirichlet Allocation) AI model. With the assistance of the LDA model the subject age is automated, without this the client should pick the point really.","PeriodicalId":437457,"journal":{"name":"Journal of Cyber Security in Computer System","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learning from Mistakes by SYM (Share Your Mistakes)\",\"authors\":\"Jyoti Gupta\",\"doi\":\"10.46610/jcscs.2022.v01i02.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The motivation driving Project SYM is to confine the missteps in human existence. An extraordinary attestation is \\\"gain from your missteps'. Notwithstanding, this verbalization is restricted to messes up that we make. All things considered, on the off chance that we are advancing just from our staggers, we are committing another screw up. Why commit slip-ups and gain from them, when we can procure relative portrayal from others' goods additionally? So gain from your staggers as well as gain from others' missteps. In any case, the solicitation emerges where we can track down others' missteps? Considering everything, Project SYM is keeping close by for you. On Project SYM we urge clients to share their slip-ups and the portrayals they obtained from it in an all-around facilitated plan. We moreover reward clients who accomplish more likes on their MisCards. Project SYM is made dealing with all of the best in class highlights of any electronic redirection application. It solidifies posting MisCards, similar to, disdain, remark, recommendation and safe choice. Clients can turn on or off remarks on their MisCards. Follow button is moreover accessible. It moreover solidifies two or three progressed highlights like modified subject age from the MisCards text utilizing LDA (Latent Dirichlet Allocation) AI model. With the assistance of the LDA model the subject age is automated, without this the client should pick the point really.\",\"PeriodicalId\":437457,\"journal\":{\"name\":\"Journal of Cyber Security in Computer System\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cyber Security in Computer System\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46610/jcscs.2022.v01i02.005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cyber Security in Computer System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46610/jcscs.2022.v01i02.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

推动SYM计划的动机是限制人类存在的错误。一个特别的证明是“从你的失误中获益”。尽管如此,这种语言表达仅限于我们制造的混乱。考虑到所有的事情,如果我们能从踉踉跄跄中走出来,我们就会再次犯错。当我们可以从别人的商品中获得相对的写照时,为什么要犯错误并从中获利呢?所以,你要从自己的失误中获益,也要从别人的失误中获益。在任何情况下,征集出现,我们可以追查别人的失误?考虑到这一切,SYM项目就在你身边。在SYM项目中,我们敦促客户在一个全面的促进计划中分享他们的失误和他们从中获得的描述。此外,我们还奖励那些在错误卡片上获得更多赞的客户。项目SYM是处理所有最好的类突出的任何电子重定向应用程序。它巩固了发布错误卡片,类似,鄙视,评论,推荐和安全选择。客户可以打开或关闭对他们错误卡片的评论。跟踪按钮更易于访问。此外,它还利用LDA (Latent Dirichlet Allocation)人工智能模型从MisCards文本中巩固了两个或三个进展的亮点,如修改了受试者年龄。在LDA模型的帮助下,主题年龄是自动的,没有这个客户端应该真正地选择点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning from Mistakes by SYM (Share Your Mistakes)
The motivation driving Project SYM is to confine the missteps in human existence. An extraordinary attestation is "gain from your missteps'. Notwithstanding, this verbalization is restricted to messes up that we make. All things considered, on the off chance that we are advancing just from our staggers, we are committing another screw up. Why commit slip-ups and gain from them, when we can procure relative portrayal from others' goods additionally? So gain from your staggers as well as gain from others' missteps. In any case, the solicitation emerges where we can track down others' missteps? Considering everything, Project SYM is keeping close by for you. On Project SYM we urge clients to share their slip-ups and the portrayals they obtained from it in an all-around facilitated plan. We moreover reward clients who accomplish more likes on their MisCards. Project SYM is made dealing with all of the best in class highlights of any electronic redirection application. It solidifies posting MisCards, similar to, disdain, remark, recommendation and safe choice. Clients can turn on or off remarks on their MisCards. Follow button is moreover accessible. It moreover solidifies two or three progressed highlights like modified subject age from the MisCards text utilizing LDA (Latent Dirichlet Allocation) AI model. With the assistance of the LDA model the subject age is automated, without this the client should pick the point really.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信