Abstract
Recommendation systems provide an approach to facilitate the user’s desire. It is helpful in recommending things from various domains like e-commerce, the service industry, and social networking sites. The most researcher we found is based in the trading domain. However, there is limited information on the impact of recommender systems in other domains like education. Recently recommendation systems have proved to be efficient for the education sector as well.
The online recommendation system has become a trend. Nowadays rather than going out and buying items for themselves, online recommendation provides an easier and quicker way to buy items, and transactions are also quick when it is done online. Recommended systems are powerful new technology and it helps users to find items that they want to buy. A recommendation system is broadly used to recommend the most appropriate products to end users.
Thus, the objective of this study is to summarize the current knowledge that is available with regard to recommendation systems that have been employed within the education domain to support educational practices. Our results provide some findings regarding how recommendation systems can be used to support main areas in education, what approaches techniques or algorithms recommender systems use, and how they address different issues in the academic world.
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Stitini, O., Kaloun, S., Bencharef, O. (2021). The Recommendation of a Practical Guide for Doctoral Students Using Recommendation System Algorithms in the Education Field. In: Ben Ahmed, M., Rakıp Karaș, İ., Santos, D., Sergeyeva, O., Boudhir, A.A. (eds) Innovations in Smart Cities Applications Volume 4. SCA 2020. Lecture Notes in Networks and Systems, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-030-66840-2_19
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DOI: https://doi.org/10.1007/978-3-030-66840-2_19
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