Recommendation System Acceptance Study Dataset

Citation Author(s):
Kim
Rahman
Yang Sok
Kim
Mi Jin
Noh
Mu Moung Cho
Han
Seong Jin
Noh
Submitted by:
YANG SOK KIM
Last updated:
Sun, 03/20/2022 - 09:34
DOI:
10.21227/7gm7-sm54
Data Format:
*.csv
License:
Creative Commons Attribution
303 Views
Categories:
Artificial Intelligence
Keywords:
Recommendation System, AI Trustworthiness, System Acceptance
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Abstract 

This dataset contains survey results collected from new recommendation system. This dataset asks about how the people accept recommendation systems from the AI trustworthiness and recommendation quality aspect. 

Instructions: 

This is formatted with csv file and each question has from 1 to 5 scores.

Funding Agency: 
Keimyung University

Comments

This is very informative and well structured

Submitted by Benya Jamiu on Mon, 03/21/2022 - 12:07

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