3 papers
quant-ph2025
Estimating Quantum Execution Requirements for Feature Selection in Recommender Systems Using Extreme Value Theory
Jiayang Niu, Qihan Zou, Jie Li +3
Recent advances in quantum computing have significantly accelerated research into quantum-assisted information retrieval and recommender systems, particularly in solving feature se…
cs.IR2024
Metamorphic Evaluation of ChatGPT as a Recommender System
Madhurima Khirbat, Yongli Ren, Pablo Castells +1
With the rise of Large Language Models (LLMs) such as ChatGPT, researchers have been working on how to utilize the LLMs for better recommendations. However, although LLMs exhibit b…
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…