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Best Dog - Dog Breed Recommendation System using Ordinal Priority Approach

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dc.contributor.author Perera, Shane
dc.date.accessioned 2023-01-23T07:22:38Z
dc.date.available 2023-01-23T07:22:38Z
dc.date.issued 2022
dc.identifier.citation Perera, Shane (2022) Best Dog - Dog Breed Recommendation System using Ordinal Priority Approach. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018548
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1519
dc.description.abstract "This research aims to present a solution to recommend dog breeds by the method called the Ordinal Priority Approach with collaborative filtering. According to this approach, the system will be asking the user to prioritize the attributes which are referred to as characteristics of a dog according to their preference. The dataset is obtained by web scraping the ‘Dogtime’ website which includes data on almost every dog breed especially purebred dogs including attributes of physical characteristics and personalities. As a result, the proposed system called “Best Dog” is recommending most suitable dog breeds and similar dog breeds. It will be able to help the people who are willing to get a suitable dog for their home according to their preferences." en_US
dc.language.iso en en_US
dc.subject Dog breed recommendation system en_US
dc.subject Mixed-breed dogs en_US
dc.title Best Dog - Dog Breed Recommendation System using Ordinal Priority Approach en_US
dc.type Thesis en_US


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