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dc.contributor.advisor Premaratne S
dc.contributor.author Punchihewa U V
dc.date.accessioned 2019
dc.date.available 2019
dc.date.issued 2019
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/15726
dc.description.abstract Abstract Nowadays we can see many restaurants in different category in different locations. But do you know what the best restaurants there are? Is there a way to identify the best restaurants? With this proposed solution, we can identify the best restaurants around you that is called “Restaurant recommendation system”. It provides a good experience to the end user to find the best restaurant for their preferences. Based on previous user experience or feelings about the restaurant we can get some idea about the restaurant. If someone recommends a system, we can think of it as a good restaurant. In this system takes three user inputs on restaurant menu items. The first one is recommending or not recommending as direct input on a restaurant. The second input is rating on a restaurant menu item scaling one to five. The third input is analyzing users’ reviews about the restaurant menu item. So, we can apply data mining techniques like opinion mining and Apriori algorithm on the user inputs and get the output as recommended menu item along with the restaurant. Based on those three user inputs above mentioned we could decide what the best restaurant meals are by calculating average ratings and ranking them. Not only that. This system will also provide suggestions about restaurants or meals of a restaurant based on users’ preferences by using data mining techniques like collaboration filtering. The collaboration filtering is focused on users’ preferences. And, it uses opinion mining techniques to analyze reviews. This system is a web application with the REST service. For the front-end development used Angular to make it rich application and for back end uses Java with REST web service. In addition to that uses spring framework and hibernate for object relational mapping. en_US
dc.language.iso en en_US
dc.subject RESTAURANT RECOMMENDATION SYSTEM en_US
dc.subject SOFTWARE DEVELOPMENT en_US
dc.subject DATA MINING-Opinion Mining en_US
dc.subject INFORMATION TECHNOLOGY-Dissertations en_US
dc.title Restaurant recommendation system by using data mining techniques en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.degree MSc in Information Technology en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2019
dc.identifier.accno TH3932 en_US


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