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Intelligent Sentence Search Engine

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Overview

The Intelligent Sentence Search Engine is an AI-powered search system designed to efficiently search and retrieve sentences based on user queries. It utilizes Particle Swarm Optimization (PSO) and A* search algorithms for optimized search results. The system is capable of learning from user interactions, adapting to search patterns, and dynamically scaling to handle varying workloads.

Features

  • Particle Swarm Optimization (PSO): Initial search optimization using PSO to efficiently explore the search space.

  • A Search Algorithm:* Utilizes A* search for further refinement and optimization of search results.

  • User Learning: Learns from user interactions to adapt to search patterns and improve the search experience over time.

  • Biasing for Search Term: Handles biasing for search terms during the construction of the initial search tree.

  • Auto Scaling: Dynamic scaling to handle varying workloads and adapt to changing requirements.

  • Horizontal Scaling: Enables scaling horizontally to distribute the workload and improve system performance.

  • Real-time Search Term Addition: Allows users to add search terms on-the-fly for a more personalized search experience.

  • Caching: Speeds up search by caching previous search results for frequently used queries.

  • Global Frequency Tracking: Keeps track of the global frequency of searches to adapt to changing trends and requirements.

Usage

  1. Installation:
    git clone https://github.com/your-username/search-engine.git
    cd search-engine
    # Add any necessary installation steps

Contributing

We welcome contributions! If you have ideas for new features, improvements, or bug fixes, please submit an issue or a pull request.

License

This project is licensed under the MIT License.

Acknowledgments Special thanks to contributors and the open-source community for their valuable input. Contact For inquiries, please contact [your-email@example.com].

About

Developed an AI-powered search engine (c++) capable of efficiently retrieving sentences based on user queries. The system employs Particle Swarm Optimization (PSO) and A* search algorithms for optimal results. It adapts to user search patterns, handles biasing for search terms during tree construction, and dynamically scales to varying workloads.

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