Work

uRank: Exploring Document Recommendations through an Interactive User-Driven Approach.

Year: 2015

Type: conference-paper

Source: ACM Conference on Recommender Systems (RecSys)

Authors: Cecilia di Sciascio, Vedran Sabol, Eduardo Veas

Institution: Know Center Research GmbH (Austria)

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2407429882

FWCI: 1.209

Cites: 31

Cited by: 10

Related to: 10