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Worth eat: An intelligent application for restaurant recommendation based on customer preference (Case study: Five types of restaurant in Tangerang Selatan region, Indonesia)
Research article (2017 5th International Conference on Information and Communication Technology (ICoIC7), 2017) · cited 13× · AI/ML
Worth eat: An intelligent application for restaurant recommendation based on customer preference (Case study: Five types of restaurant in Tangerang Selatan region, Indonesia)
Summary
Worth eat: An intelligent application for restaurant recommendation based on customer preference (Case study: Five types of restaurant in Tangerang Selatan region, Indonesia) is a scholarly article[1].
Key Facts
Worth eat: An intelligent application for restaurant recommendation based on customer preference (Case study: Five types of restaurant in Tangerang Selatan region, Indonesia)'s instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Worth eat: An intelligent application for restaurant recommendation based on customer preference (Case study: Five types of restaurant in Tangerang Selatan region, Indonesia). Retrieved May 24, 2026, from https://4ort.xyz/entity/worth-eat-an-intelligent-application-for-restaurant-recommendation-based-on-customer-preference-case-study-five-types-of
MLA“Worth eat: An intelligent application for restaurant recommendation based on customer preference (Case study: Five types of restaurant in Tangerang Selatan region, Indonesia).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/worth-eat-an-intelligent-application-for-restaurant-recommendation-based-on-customer-preference-case-study-five-types-of.
BibTeX@misc{4ortxyz_worth-eat-an-intelligent-application-for-restaurant-recommendation-based-on-customer-preference-case-study-five-types-of_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Worth eat: An intelligent application for restaurant recommendation based on customer preference (Case study: Five types of restaurant in Tangerang Selatan region, Indonesia)}}, year = {2026}, url = {https://4ort.xyz/entity/worth-eat-an-intelligent-application-for-restaurant-recommendation-based-on-customer-preference-case-study-five-types-of}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Worth eat: An intelligent application for restaurant recommendation based on customer preference (Case study: Five types of restaurant in Tangerang Selatan region, Indonesia) — https://4ort.xyz/entity/worth-eat-an-intelligent-application-for-restaurant-recommendation-based-on-customer-preference-case-study-five-types-of (retrieved 2026-05-24)
