Title: TRUE – Transparency of Recommended User Experiences
Abstract: One of the fundamental goals of user recommendations is to drive higher user engagement with applications and ecosystems. However, there is a lack of clarity for the user on how end user data is used to create these recommendations. This paper explores a framework that explains and gives control to a user, on how their usage data was utilized to generate recommendations. It will shed light on how a system recommendation could be more transparent from the user's perspective. The framework aims to expose the relationship between recommendations and contextual user activity, thereby leading to transparency. This framework would also allow users to finetune how usage data from their activity, can be better utilized to generate recommendations. The adoption of this framework could lead to higher user engagement with the application and a better user experience for the user.
Publication Year: 2020
Publication Date: 2020-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 1
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