Role of Ontology and Machine Learning in Recommender Systems

Izzah Fadhilah Akmaliah, Adila Alfa Krisnadhi, Dana Indra Sensuse, Puji Rahayu, Ika Arthalia Wulandari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Currently, information overload can make selecting the information appropriately as time consuming needs. Therefore created a recommender system that helps the selection of information appropriately and personalized as needed. A system recommender has various types and support techniques to determine recommendations, including ontology and machine learning. Ontology is a conceptualization of the representation of knowledge that can be translated into machine language as well as machine learning which is the formalization of human learning applied to the computer in order to gain knowledge from the real world is considered as techniques that can help find the right recommendations. This study conducted of 750 previous studies that have been carefully analyzed using the Kitchenham method to find the most commonly used recommender system and the roles of both techniques in the system recommendations.

Original languageEnglish
Title of host publication2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages371-376
Number of pages6
ISBN (Electronic)9781538652510
DOIs
Publication statusPublished - 16 Apr 2019
Event2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2018 - Batu, East Java, Indonesia
Duration: 9 Oct 201811 Oct 2018

Publication series

Name2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2018

Conference

Conference2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2018
CountryIndonesia
CityBatu, East Java
Period9/10/1811/10/18

Keywords

  • machine learning
  • ontology
  • recommender system
  • systematic review
  • user profile

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  • Cite this

    Akmaliah, I. F., Krisnadhi, A. A., Sensuse, D. I., Rahayu, P., & Wulandari, I. A. (2019). Role of Ontology and Machine Learning in Recommender Systems. In 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2018 (pp. 371-376). [8692809] (2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EECCIS.2018.8692809