A System to Search and Recommend Learning Courses Sequences
Main Article Content
Abstract
Traditional recommender systems provide the user with a list of items supposed to be of interest to the user. Each item is a single independent object and the entire result represents alternatives that match user’s preferences. Another category of recommender systems provides recommendations as collections of items. For this type of systems the recommended items are not alternatives but items to be taken in a “certain order”. In this work, we propose a system that recommends learning courses sequences. Another objective of our system is to enable efficient courses search by proposing an approach based on a multi-criteria weighting method. Our general purpose is to recommend sequences of learning courses using the user’s profile and also to search specific courses by keywords and to suggest related courses. Our goal is to facilitate the learning process and satisfy the user’s need.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.