Work

Causally Informed Factorization Machines

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825754

Authors: Mao-Lin Li, K Selçuk Candan, Maria Luisa Sapino

Institutions: Arizona State University, University of Turin

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Arm

OpenAlex ID: W4406461633

FWCI: 1.152

Cites: 30

Cited by: 3

Related to: 10