@inproceedings{5bfcffbe2076403db60a26a33df1368e,
title = "The effects of pictures, review credibility and personalization on users satisfaction of using restaurant recommender apps: Case study: Zomato dan qraved",
abstract = "This study aims to determine the effects of pictures, reviews credibility and personalization feature on users' satisfaction in accessing restaurant recommender apps. This study uses a quantitative approach with a total of 419 collected respondents. The data gathered within this study is being analyzed using multiple regressions using SPSS 22.0. The results of this study indicate that pictures and reviews credibility are affecting user satisfaction on using restaurant recommender apps. Additionally, providing personalization on a restaurant recommender apps may also improve its user satisfaction in accessing the apps.",
keywords = "personalization features, photos, restaurant recommender, review credibility, user satisfaction",
author = "Ilham, {Nur Fazri} and Handayani, {Putu Wuri} and Fatimah Azzahro",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Conference on Informatics and Computing, ICIC 2017 ; Conference date: 01-11-2017 Through 03-11-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/IAC.2017.8280648",
language = "English",
series = "Proceedings of the 2nd International Conference on Informatics and Computing, ICIC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "Proceedings of the 2nd International Conference on Informatics and Computing, ICIC 2017",
address = "United States",
}