2 papers
cs.IR2025
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing
Maurizio Ferrari Dacrema, Michael Benigni, Nicola Ferro
Graph-based techniques relying on neural networks and embeddings have gained attention as a way to develop Recommender Systems (RS) with several papers on the topic presented at SI…
cs.IR2024
Performance-Driven QUBO for Recommender Systems on Quantum Annealers
Jiayang Niu, Jie Li, Ke Deng +3
Quantum annealers offer a promising hardware platform for solving combinatorial optimization problems, especially those formulated as Quadratic Unconstrained Binary Optimization (Q…