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 |