dc.contributor.author |
Abdul Razzaq, Rashfa |
|
dc.date.accessioned |
2024-03-21T06:46:35Z |
|
dc.date.available |
2024-03-21T06:46:35Z |
|
dc.date.issued |
2023 |
|
dc.identifier.citation |
Abdul Razzaq, Rashfa (2023) SkinWiseMR: Novel Approach for Natural Beauty Remedy Recommendation System Using Machine Learning. BSc. Dissertation, Informatics Institute of Technology |
en_US |
dc.identifier.issn |
20191008 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/1923 |
|
dc.description.abstract |
Many women are turning to natural home remedies for their beauty challenges because of the exorbitant costs and adverse effects of commercial beauty products. However, choosing the best treatment for their skin type and problem can be difficult, especially given the overwhelming amount of contradictory information that is available online. By creating a content-based filtering algorithm that suggests natural beauty treatments to consumers based on their interests, this research seeks to solve this issue. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IIT |
en_US |
dc.subject |
Recommendation Systems |
en_US |
dc.subject |
TF-IDF Model |
en_US |
dc.subject |
Machine Learning |
en_US |
dc.title |
SkinWiseMR: Novel Approach for Natural Beauty Remedy Recommendation System Using Machine Learning |
en_US |
dc.type |
Thesis |
en_US |