需求优先级的分组推荐算法

A. Felfernig, G. Ninaus
{"title":"需求优先级的分组推荐算法","authors":"A. Felfernig, G. Ninaus","doi":"10.5555/2666719.2666733","DOIUrl":null,"url":null,"abstract":"Group recommendation is successfully applied in different domains such as Interactive Television, Ambient Intelligence, and e-Tourism. The focus of this paper is to analyze the applicability of group recommendation to requirements prioritization. We provide an overview of relevant group recommendation heuristics and report the results of an empirical study which focused on the analysis of the prediction quality of these heuristics.","PeriodicalId":193223,"journal":{"name":"2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Group recommendation algorithms for requirements prioritization\",\"authors\":\"A. Felfernig, G. Ninaus\",\"doi\":\"10.5555/2666719.2666733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Group recommendation is successfully applied in different domains such as Interactive Television, Ambient Intelligence, and e-Tourism. The focus of this paper is to analyze the applicability of group recommendation to requirements prioritization. We provide an overview of relevant group recommendation heuristics and report the results of an empirical study which focused on the analysis of the prediction quality of these heuristics.\",\"PeriodicalId\":193223,\"journal\":{\"name\":\"2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/2666719.2666733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/2666719.2666733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

摘要

分组推荐在交互式电视、环境智能、电子旅游等领域得到了成功的应用。本文的重点是分析小组推荐对需求优先级排序的适用性。我们概述了相关的群体推荐启发式,并报告了一项实证研究的结果,该研究的重点是分析这些启发式的预测质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Group recommendation algorithms for requirements prioritization
Group recommendation is successfully applied in different domains such as Interactive Television, Ambient Intelligence, and e-Tourism. The focus of this paper is to analyze the applicability of group recommendation to requirements prioritization. We provide an overview of relevant group recommendation heuristics and report the results of an empirical study which focused on the analysis of the prediction quality of these heuristics.
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