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Recommendation System Acceptance Study Dataset

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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:
DOI:
10.21227/7gm7-sm54
Data Format:
*.csv
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Categories:
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

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