Recommender Systems: Metric Suggestion Mechanisms Applied to Adaptable Sof... (Video, ESEC/FSE 2020)
"Recommender Systems: Metric Suggestion Mechanisms Applied to Adaptable Software Dashboards (Video, ESEC/FSE 2020)
Dragos Strugar
(Innopolis University, Russia)
Abstract: Dashboards are software systems aiming to amplify cognition capitalizing on human perceptual abilities. As such, they have intrinsically a human-centric approach, meaning that their purpose is to support effective decision making. This has played a vital role in their success in business performance management, business intelligence, and internal control. However, as today's business requirements change rapidly and continuously, dashboards containing the same set of metrics throughout quickly become ineffective at conveying important information, especially when used by multiple users. This is one of the reasons for adopting the concept of 'precooked' dashboards, i.e., building a default template that is useful to an average user.
Article: https://doi.org/10.1145/3368089.3418779
Submitted to the conference by Dragos Strugar on 2020-11-04
Video Tags: Dashboards, Metrics, Recommender systems, Collaborative filtering, fse20src-p72-p, DOI: 10.1145/3368089.3418779
Presentation at the ESEC/FSE 2020 conference, November 8–13, 2020, https://2020.esec-fse.org/
Sponsored by ACM SIGSOFT, https://www.sigsoft.org/
Twitter: / fseconf
Reddit: / esecfse "
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