@inproceedings{15e2791f02194733b7f9feee20656d30,
title = "Recommendation system based on item and user similarity on restaurants directory online",
abstract = "The growing number of internet companies are demanding the company to innovate through technology. This is also applied to restaurant directory companies, they should give recommendation of restaurant which suit best on customer needs. This study aims to develop a system to provide recommendation for customer in restaurant selection. We merge the item similarity and user similarity features to generate recommendations. Evaluation shows that the recommendation system based on item similarity yields higher F1-measure value when comparing to user similarity.",
keywords = "Item similarity, Recommendation system, Restaurant recommendation system, User similarity",
author = "Mustofa, {Aji Achmad} and Indra Budi",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th International Conference on Information and Communication Technology, ICoICT 2018 ; Conference date: 03-05-2018 Through 04-05-2018",
year = "2018",
month = nov,
day = "8",
doi = "10.1109/ICoICT.2018.8528775",
language = "English",
series = "2018 6th International Conference on Information and Communication Technology, ICoICT 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "70--74",
booktitle = "2018 6th International Conference on Information and Communication Technology, ICoICT 2018",
address = "United States",
}