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Published in 2023 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2022.3177316
Abstract: Service-oriented applications commonly involve high-dimensional and sparse (HiDS) interactions among users and service-related entities, e.g., user-item interactions from a personalized recommendation services system. How to perform precise and efficient representation learning on such HiDS interactions…
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Keywords:
hessian vector;
lfa;
model;
latent factor ... See more keywords