Development » aiaxio

Description:¶

Develop a basic recommendation algorithm utilizing AI tool tags. This algorithm suggests related tools to users based on their preferences.

Objectives:¶

• Define the recommendation algorithm to improve the relevance and accuracy of suggestions.
• Provide a user-friendly console interface for displaying recommendations.
• Test the algorithm with sample data to evaluate its performance.

Key Features:¶

• Tag-Based Recommendations: Suggest tools based on matching tags ( e.g., "Finance", "Machine Learning" ).
• Relevance Scoring: Enhance recommendation accuracy by ranking tools based on tag similarity.
• Popularity Scoring: Use number of time a tool is bookmarked and average user rating to create a popularity based ranking.

Tasks:¶

• Create the algorithm and identify areas for improvement.
• Integrate the recommendation system into the app's backend.
• Create a console interface for displaying recommendations to users.
• Test the system with sample data to ensure performance and accuracy.
• Document the algorithm, and integration steps.
• Create a report for comparing algorithm's performance for multiple tags.

Acceptance Criteria:¶

• Recommendations are displayed after a user query.
• Relevant tools are suggested based on matching tags.
• Recommendations are tested and validated with a sample dataset.
• An user-friendly console interface is delivered.