dc.contributor.author | Chandrasena, JAWT | |
dc.contributor.author | Gunasekara, ADAI | |
dc.contributor.author | Uwanthika, GAI | |
dc.date.accessioned | 2021-12-24T06:02:04Z | |
dc.date.available | 2021-12-24T06:02:04Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | http://ir.kdu.ac.lk/handle/345/5205 | |
dc.description.abstract | Traditional dancing which
originated in the 4th century B.C. is one of the
most popular dancing styles in Sri Lanka.
Though it has highly developed throughout the
years, novel technologies are not much engaged
with the development of traditional dancing.
Therefore, Sri Lankans still use ordinary
methods even for finding choreographers,
dance track editors, props providers and
costume providers. These have become the
most common problems of Sri Lankan
traditional dancers. With the objective of giving
a computer-based solution for these problems,
the paper proposes an information providing
website that acts as a location and rating-based
service provider recommendation system
capable of solving the ‘cold start problem’. Since
most of the terms related to traditional dance
are in Sinhala, the web system was created in
English as well as in Sinhala for ease of use. A
Sinhala chatbot has also been introduced to the
system, making it easier for any local user to use
and a user-to-user private chat system is also
proposed to directly communicate with service
providers. The system is able to identify the five
closest service providers with the highest
ratings for users and generate more user
recommendations based on location and
ratings. Chatbot has achieved a good level of
accuracy in directing users and answering user
questions. | en_US |
dc.language.iso | en | en_US |
dc.subject | information providing platform for dancers | en_US |
dc.subject | place recommendation system | en_US |
dc.subject | nearest place finding system | en_US |
dc.subject | Sinhala chatbot | en_US |
dc.title | Sinhala Chatbot with Recommendation System for Sri Lankan Traditional Dancers | en_US |
dc.type | Article Full Text | en_US |
dc.identifier.journal | KDU IRC, 2021 | en_US |
dc.identifier.issue | Faculty of Computing | en_US |
dc.identifier.pgnos | 87-96 | en_US |