Semantic Search and Recommendation Algorithm
Information Retrieval
2024-12-10 v1 Artificial Intelligence
Databases
Machine Learning
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.
Keywords
Cite
@article{arxiv.2412.06649,
title = {Semantic Search and Recommendation Algorithm},
author = {Aryan Duhan and Aryan Singhal and Shourya Sharma and Neeraj and Arti MK},
journal= {arXiv preprint arXiv:2412.06649},
year = {2024}
}
Comments
6 pages, 5 Figures