Wadi Food Product Recommendation Application

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dc.AffiliationOctober University for modern sciences and Arts (MSA)  
dc.contributor.authorMostafa, Mohamed Rashad Zakaria
dc.date.accessioned2021-01-24T10:52:02Z
dc.date.available2021-01-24T10:52:02Z
dc.date.issued2020
dc.descriptionComputer sciences distinguished graduation projects 2020en_US
dc.description.abstractThe main idea of this project is to build an application for wadi food company to help them communicate with their users and people who like their products and build a recommendation system for the company to help them recommend more accurate products that the customers are more likely to buy using the user-based collaborative filtering approach.en_US
dc.description.sponsorshipDr. Moataz Samyen_US
dc.identifier.citationCopyright © 2021 MSA University. All Rights Reserveden_US
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/4364
dc.language.isoenen_US
dc.publisherOctober University for Modern Sciences and Artsen_US
dc.relation.ispartofseriesComputer sciences distinguished projects 2020;
dc.subjectOctober University for Modern Sciences and Artsen_US
dc.subjectUniversity of Modern Sciences and Artsen_US
dc.subjectMSA Universityen_US
dc.subjectجامعة أكتوبر للعلوم الحديثة والآدابen_US
dc.subjectProduct Recommendationen_US
dc.titleWadi Food Product Recommendation Applicationen_US
dc.typeOtheren_US

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Faculty Of Computer Science Graduation Project 2019 - 2020