部署群众推荐系统

David Ben-Shimon, Michael Friedmann, J. Hörle, Alexander Tsikinovsky, Roland Gude, Rodion Aluchanov
{"title":"部署群众推荐系统","authors":"David Ben-Shimon, Michael Friedmann, J. Hörle, Alexander Tsikinovsky, Roland Gude, Rodion Aluchanov","doi":"10.1145/2559184.2559194","DOIUrl":null,"url":null,"abstract":"Many small and mid-sized e-businesses wish to integrate a recommender system into their website. Integrating an existing recommender system to a website often requires certain expertise and programming efforts, thus incurs substantial investments and may not be justified by the added value of the recommender system. This demo presents a solution for integrating a recommender system as a service to an existing e-business without any programming efforts. The integration method is analogue to the way of the Google AdSense integration and the business model is adapted from the advertisements world. Initial feedback from real website owners indicates that such integration has a great benefit for both sides; the website owner and the Recommender System (RS) provider.","PeriodicalId":206452,"journal":{"name":"IUI Companion '14","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Deploying recommender system for the masses\",\"authors\":\"David Ben-Shimon, Michael Friedmann, J. Hörle, Alexander Tsikinovsky, Roland Gude, Rodion Aluchanov\",\"doi\":\"10.1145/2559184.2559194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many small and mid-sized e-businesses wish to integrate a recommender system into their website. Integrating an existing recommender system to a website often requires certain expertise and programming efforts, thus incurs substantial investments and may not be justified by the added value of the recommender system. This demo presents a solution for integrating a recommender system as a service to an existing e-business without any programming efforts. The integration method is analogue to the way of the Google AdSense integration and the business model is adapted from the advertisements world. Initial feedback from real website owners indicates that such integration has a great benefit for both sides; the website owner and the Recommender System (RS) provider.\",\"PeriodicalId\":206452,\"journal\":{\"name\":\"IUI Companion '14\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IUI Companion '14\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2559184.2559194\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IUI Companion '14","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2559184.2559194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

许多中小型电子商务希望将推荐系统集成到他们的网站中。将现有的推荐系统集成到网站上通常需要一定的专业知识和编程工作,因此需要大量的投资,并且可能无法通过推荐系统的附加价值来证明。这个演示提供了一个解决方案,可以将推荐系统作为服务集成到现有的电子商务中,而无需任何编程工作。其整合方式类似于Google AdSense的整合方式,其商业模式借鉴了广告业。来自真正的网站所有者的初步反馈表明,这种整合对双方都有很大的好处;网站所有者和推荐系统(RS)提供商。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deploying recommender system for the masses
Many small and mid-sized e-businesses wish to integrate a recommender system into their website. Integrating an existing recommender system to a website often requires certain expertise and programming efforts, thus incurs substantial investments and may not be justified by the added value of the recommender system. This demo presents a solution for integrating a recommender system as a service to an existing e-business without any programming efforts. The integration method is analogue to the way of the Google AdSense integration and the business model is adapted from the advertisements world. Initial feedback from real website owners indicates that such integration has a great benefit for both sides; the website owner and the Recommender System (RS) provider.
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:481959085
Book学术官方微信