Journal of Data Science and Its Applications
Vol 3 No 2 (2020): Journal of Data Science and Its Applications

Movie Recommendation Using Conversational Mechanism and Knowledge Based Filtering

Marendra Septianta (Unknown)
Z. K. Abdurahman Baizal (Telkom University)
Kemas Muslim Lhaksmana (Unknown)

Article Info

Publish Date
30 Jul 2020


Conversational recommender system created for helping users in searching information in a domain by using conversational mechanism. These systems help user to get recommendation by selecting items that most suitable to user’s preference by asking user needed. The recommendations generated by eliciting user’s experience e.g. his favourite movies, actor and director and then gives the item that match their interest. There are many methods to get the suitable recommendation that match the user’s preference. In this paper, we use ontology which represents knowledge to get result of recommendation that fit to user preference by using knowledge-based filtering to determine the user’s need. Our system has been implemented for movie domain. We test our system performance by studying user's perception.

Copyrights © 2020

Journal Info





Computer Science & IT Decision Sciences, Operations Research & Management


JDSA welcomes all topics that are relevant to data science, computational linguistics, and information sciences. The listed topics of interest are as follows: Big Data Analytics Computational Linguistics Data Clustering and Classifications Data Mining and Data Analytics Data Visualization ...