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Semantic Search and Recommendation Algorithm
December 09, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Aryan Duhan, Aryan Singhal, Shourya Sharma, Neeraj, Arti MK
arXiv ID
2412.06649
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.DB,
cs.LG
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
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.
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