Work

CoCo-POI: Collaborative Contrastive Learning for Point-of-Interest Recommendation

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Human-Machine Systems (ICHMS)

DOI: 10.1109/ichms65439.2025.11154359

Authors: Esmatollah Rezaei, S. Jamal Seyedmohammadi, S. Kawa Atapour, Ali Abouei, Jamshid Abouei, Arash Mohammadi

Institutions: Yazd University, Concordia University, University of Alberta

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Natural Sciences and Engineering Research Council of Canada

Award: Human-Centric, Distributed, and Trustworthy Digital Twin-enabled Internet of Everything

OpenAlex ID: W4414272292

FWCI:

Cites: 26

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