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A Recommendation System for Online Courses

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Recent Advances in Information Systems and Technologies (WorldCIST 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 569))

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Abstract

Nowadays there are many courses available for students, and sometimes it is hard for a student to perceive information related to those courses and decide which course to take. This work aims to build a system to suggest online courses to users based on their profile and the similarity with other users. For this work three techniques were used to extract the information and suggest online courses: Content Based, Collaborative filtering and Hybrid. By combining these three techniques the system can offer more accurate recommendations and only considers the interests of each user. Thus, users will not feel tired while perceiving information of their interest and will keep engaged and interested to use the system.

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Notes

  1. 1.

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Author information

Authors and Affiliations

  1. CIICESI, Center for Research and Innovation in Business Sciences and Information Systems, ESTG, School of Management and Technology, Polytechnic of Porto, Porto, Portugal

    David Estrela & Sérgio Batista

  2. GECAD, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of Engineering, Polytechnic of Porto, Porto, Portugal

    Diogo Martinho & Goreti Marreiros

Authors
  1. David Estrela
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  2. Sérgio Batista
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  3. Diogo Martinho
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  4. Goreti Marreiros
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Corresponding author

Correspondence to Goreti Marreiros .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Baixo Mondego, Portugal

    Álvaro Rocha

  2. Nova IMS, Universidade Nova de Lisboa, Lisboa, Portugal

    Ana Maria Correia

  3. College of Engineering, The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

  4. DSI/EEUM, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

  5. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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Estrela, D., Batista, S., Martinho, D., Marreiros, G. (2017). A Recommendation System for Online Courses. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-319-56535-4_20

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  • DOI: https://doi.org/10.1007/978-3-319-56535-4_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56534-7

  • Online ISBN: 978-3-319-56535-4

  • eBook Packages: EngineeringEngineering (R0)

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