Overview of ACM RecSys CrowdRec 2015 Workshop: Crowdsourcing and Human Computation for Recommender Systems

M. Larson, D. Tikk, R. Turrin
{"title":"Overview of ACM RecSys CrowdRec 2015 Workshop: Crowdsourcing and Human Computation for Recommender Systems","authors":"M. Larson, D. Tikk, R. Turrin","doi":"10.1145/2792838.2798719","DOIUrl":null,"url":null,"abstract":"CrowdRec 2015 provides the recommender system community with a forum at which to discuss crowdsourcing and human computation. Systems that explicitly collect information from human annotators to improve recommendations are becoming more widespread. At this year's workshop, we highlight incentivization and the issue of avoiding bias. We take a special look at how recommender systems can influence collective behavior, and the contribution that the crowd can make to recommender system evaluation.","PeriodicalId":325637,"journal":{"name":"Proceedings of the 9th ACM Conference on Recommender Systems","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th ACM Conference on Recommender Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2792838.2798719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

CrowdRec 2015 provides the recommender system community with a forum at which to discuss crowdsourcing and human computation. Systems that explicitly collect information from human annotators to improve recommendations are becoming more widespread. At this year's workshop, we highlight incentivization and the issue of avoiding bias. We take a special look at how recommender systems can influence collective behavior, and the contribution that the crowd can make to recommender system evaluation.
ACM RecSys CrowdRec 2015研讨会综述:推荐系统的众包和人工计算
CrowdRec 2015为推荐系统社区提供了一个讨论众包和人工计算的论坛。明确地从人类注释者那里收集信息以改进推荐的系统正变得越来越普遍。在今年的研讨会上,我们强调激励和避免偏见的问题。我们将特别关注推荐系统如何影响集体行为,以及人群对推荐系统评估的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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