How Stitch Fix uses human-in-the-loop machine learning for personalization

• Verfasst von: Colson, Eric [VerfasserIn]
• Titel: How Stitch Fix uses human-in-the-loop machine learning for personalization
• Institutionen: Safari, an O’Reilly Media Company. [MitwirkendeR]
• Verf.angabe: Colson, Eric
• Ausgabe: 1st edition
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: O'Reilly Media, Inc.
• Jahr: 2017
• Umfang: 1 online resource (1 video file, approximately 48 min.)
• Fussnoten: Online resource; Title from title screen (viewed May 31, 2017)
• ComputerInfo: Mode of access: World Wide Web.
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Electronic videos ; local
• K10plus-PPN: 1736161768
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3784060102
• Lokale URL Inst.: Zum Volltext

Abstract

Personalization algorithms can be broken down into a series of rote calculations—a task for which machines are particularly well suited. However, some tasks elude even the best machine-learning techniques (e.g., accurately interpreting the meaning, context, and norms conveyed through images and text or empathizing with an emotional customer). These tasks fall squarely in the purview of humans. A third class of problems calls for the combination of machine learning and human interpretation and interaction.