# Semantic Search and Recommendation Algorithm

arXiv: https://arxiv.org/abs/2412.06649 · HTML: https://mlsanity.com/paper/2412.06649/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 12 references that are in the map.
- First posted on arXiv 9 Dec 2024.

## Built on by (most cited first, 1 of 1)

- [Vextra: A Unified Middleware Abstraction for Heterogeneous Vector Database Systems](https://mlsanity.com/paper/2601.06727/) (2026)

## Abstract (arXiv)

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.