Development » aiaxio

Description:¶

Develop a prototype search engine algorithm to be integrated into the app. The algorithm should efficiently retrieve relevant results based on user queries, providing a solid foundation for future enhancements.
The demo will serve as a proof of concept and focus on accuracy, speed, and scalability.

Objectives:¶

• Search Functionality: Implement basic search capabilities that allow users to query data using keywords.
• Result Ranking: Design an algorithm to rank search results based on relevance to the query.
• Indexing: Create a lightweight indexing mechanism for efficient data retrieval.
• Performance Optimization: Ensure the algorithm performs well with a small to medium dataset ( *~ 5,000 to 10,000 records* ).

Key Features:¶

• Full-text Search: Enable keyword-based search on the dataset.
• Relevance Scoring: Rank results using basic relevance scoring ( term frequency-inverse document frequency (TF-IDF) ).
• Error Handling: Handle cases where no results are found or when invalid queries are provided.
• Suggestions: Provide basic query suggestions for misspelled words.

Tasks:¶

• Analyze requirements and define the structure of the dataset to be used.
• Data pre-processing and indexing.
• Query parser to interpret user input.
• Search algorithm for retrieving and ranking results.
• Integrate the search engine with the app's existing backend.
• Build a minimal console interface to test the demo search functionality.
• Test the search engine for accuracy and speed with test cases.
• Document the algorithm, functionality, and setup instructions for further improvements.

Acceptance Criteria:¶

• Users can perform searches and receive relevant results.
• Results are ranked based on keyword relevance.
• The system handles basic edge cases ( empty queries, misspelled keywords ).
• A console demo is available for testing the search engine.