Work

Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities

Year: 2024

Type: conference-paper

Source: ACM Conference on Recommender Systems (RecSys)

DOI: 10.1145/3640457.3691712

Authors: Linus W. Dietz, Sanja Šćepanović, Ke Zhou, Daniele Quercia

Institutions: King's College London, Nokia (United Kingdom)

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Good health and well-being

Open Access status: closed

OpenAlex ID: W4403220409

FWCI: 0.384

Cites: 18

Cited by: 1

Related to: 10