| 書目名稱 | Personalized Task Recommendation in Crowdsourcing Systems |
| 編輯 | David Geiger |
| 視頻video | http://file.papertrans.cn/745/744524/744524.mp4 |
| 概述 | Introduces a conceptual framework for crowdsourcing systems and highlights their organizational functions.Presents the current state and future research agenda of personalized task recommendation.Desc |
| 叢書名稱 | Progress in IS |
| 圖書封面 |  |
| 描述 | .This book examines the principles of and advances in personalized task recommendation in crowdsourcing systems, with the aim of improving their overall efficiency. It discusses the challenges faced by personalized task recommendation when crowdsourcing systems channel human workforces, knowledge, skills and perspectives beyond traditional organizational boundaries. The solutions presented help interested individuals find tasks that closely match their personal interests and capabilities in a context of ever-increasing opportunities of participating in crowdsourcing activities. .In order to explore the design of mechanisms that generate task recommendations based on individual preferences, the book first lays out a conceptual framework that guides the analysis and design of crowdsourcing systems. Based on a comprehensive review of existing research, it then develops and evaluates a new kind of task recommendation service that integrates with existing systems. The resulting prototype provides a platform for both the field study and the practical implementation of task recommendation in productive environments. |
| 出版日期 | Book 2016 |
| 關(guān)鍵詞 | Crowdsourcing; Personalized task recommentation; Recommender systems; Task matching; Task recommendation |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-22291-2 |
| isbn_softcover | 978-3-319-37058-3 |
| isbn_ebook | 978-3-319-22291-2Series ISSN 2196-8705 Series E-ISSN 2196-8713 |
| issn_series | 2196-8705 |
| copyright | Springer International Publishing Switzerland 2016 |
|Archiver|手機版|小黑屋|
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