Author(s)

Junwei Zhang ¹, Chengwei Jia ²

Affiliation(s)

¹ Harbin Institute of Information Technology, Harbin, 150001, China
² Harbin Normal University, Harbin, 150025, China

Corresponding Author

Chengwei Jia

ABSTRACT

This paper introduces an innovative search algorithm designed to enhance the retrieval efficiency of large-scale datasets. Utilizing methods from deep learning and distributed computing, the algorithm improves search speed and accuracy by learning dataset characteristics and optimizing the retrieval process. Experimental results demonstrate that our algorithm performs better than traditional algorithms in handling large-scale datasets.

KEYWORDS

Large-scale datasets; Search algorithm; Deep learning; Distributed computing; Retrieval efficiency

CITE THIS PAPER

Junwei Zhang, Chengwei Jia, A Novel Search Algorithm for Enhancing Retrieval Efficiency in Large-Scale Datasets. Advances in Computer, Signals and Systems (2024) Vol. 8: 46-53. DOI: http://dx.doi.org/10.23977/acss.2024.080407.

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