Work

News recommender systems – Survey and roads ahead

Year: 2018

Type: article

Source: Information Processing & Management

DOI: 10.1016/j.ipm.2018.04.008

Authors: Mozhgan Karimi, Dietmar Jannach, Michael Jugovac

Institutions: University of Antwerp, University of Klagenfurt, TU Dortmund University

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2805720864

FWCI: 36

Cites: 204

Cited by: 360

Related to: 9