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Computer Science > Information Retrieval

arXiv:2412.06649 (cs)
[Submitted on 9 Dec 2024 ]

Title: Semantic Search and Recommendation Algorithm

Title: 语义搜索和推荐算法

Authors:Aryan Duhan, Aryan Singhal, Shourya Sharma, Neeraj, Arti MK
Abstract: This paper introduces a new semantic search algorithm that uses Word2Vec and Annoy Index to improve the efficiency of information retrieval from large datasets. The proposed approach addresses the limitations of traditional search methods by offering enhanced speed, accuracy, and scalability. Testing on datasets up to 100GB demonstrates the method's effectiveness in processing vast amounts of data while maintaining high precision and performance.
Abstract: 本文介绍了一种新的语义搜索算法,该算法使用Word2Vec和Annoy Index来提高从大规模数据集中检索信息的效率。所提出的方法通过提供更快的速度、更高的准确性和可扩展性,解决了传统搜索方法的局限性。在最大达100GB的数据集上的测试表明,该方法在处理大量数据的同时保持了高精度和性能。
Comments: 6 pages, 5 Figures
Subjects: Information Retrieval (cs.IR) ; Artificial Intelligence (cs.AI); Databases (cs.DB); Machine Learning (cs.LG)
Cite as: arXiv:2412.06649 [cs.IR]
  (or arXiv:2412.06649v1 [cs.IR] for this version)
  https://doi.org/10.48550/arXiv.2412.06649
arXiv-issued DOI via DataCite

Submission history

From: Aryan Duhan Mr. [view email]
[v1] Mon, 9 Dec 2024 16:43:23 UTC (974 KB)
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