Work

Meta-Rule Based Recommender Systems for Educational Applications

Year: 2011

Type: book-chapter

Source: IGI Global eBooks

Parent work: Educational Recommender Systems and Technologies: Practices and Challenges

DOI: 10.4018/978-1-61350-489-5.ch009

Authors: Vicente Arturo Romero Zaldivar, Daniel Burgos, Abelardo Pardo

Institutions: Atos (Spain), Universidad Internacional de La Rioja, Universidad Carlos III de Madrid

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W2480446016

FWCI: 7.98

Cites: 22

Cited by: 10

Related to: 10