A Web-Decision Support System based on Collaborative Filtering for Academic Orientation. Case Study of the Spanish Secondary School

Collaborative Filtering has been widely used in Recommender Systems helping customers of e-shops to find out items matching their requirements in huge or complex search spaces. There exist many commercial applications that show the utility of these systems, especially in e-commerce whose features and good performance obtained has driven us to consider their application in a specific domain as Academic Orientation, in order to support students' decisions through their academic journey. We propose the use of the ideas behind the Collaborative Recommender Systems to develop a Web-based Decision Support System (Web- DSS) for Academic Orientation that analyze the students' skills, attitudes, preferences, etc., and then compute relevant information to support their decisions concerning their academic future. Furthermore, we shall study the performance of such techniques in Academic Orientation by using a dataset gathered from various Secondary and High Schools in Spain. OrieB, a web-DSS for academic orientation is then presented.

• Publication year

  2009

• Venue

  Journal of universal computer science (Online)

• Publication date

  Unknown publication date

• Fields of study

  Computer Science, Education

• Identifiers
  DOI 10.3217/jucs-015-14-2786
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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