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Property-Based Recommendation Engine

The Property-Based Recommendation Engine provides intelligent recommendations for materials based on property requirements, user preferences, and project context.

Features​

Property-Based Matching​

  • Property Requirements: Matches materials based on specific property requirements
  • Weighted Matching: Prioritizes important properties in the matching process
  • Similarity Calculation: Calculates similarity scores between requested and actual property values
  • Relevance Scoring: Provides an overall relevance score for each recommendation

User Preference Learning​

  • Preference Tracking: Learns from user selections to personalize recommendations
  • Property Weighting: Adjusts property weights based on user preferences
  • Personalized Results: Provides recommendations tailored to each user's preferences
  • Preference Management: Allows users to view and manage their preferences

Project Context Awareness​

  • Room Type Consideration: Adjusts recommendations based on the room type
  • Project Type Awareness: Considers the type of project (renovation, new construction, etc.)
  • Style Matching: Recommends materials that match the desired style
  • Budget Awareness: Filters recommendations based on budget constraints
  • Existing Material Compatibility: Suggests materials that work well with existing materials

Collaborative Filtering​

  • Similar User Patterns: Identifies patterns among similar users
  • Collaborative Recommendations: Suggests materials based on what similar users have chosen
  • Trend Identification: Identifies trending material combinations
  • Community Insights: Leverages insights from the user community

Technical Implementation​

Backend​

  • Recommendation Service: Handles property-based recommendation logic
  • Similarity Algorithms: Implements algorithms for different property types
  • User Preference Management: Stores and retrieves user preferences
  • Project Context Management: Manages project context information

Database​

  • Property Weights: Stores weights for different properties
  • User Preferences: Stores user property preferences
  • Project Contexts: Stores project context information
  • Compatibility Rules: Stores rules for material compatibility

Frontend​

  • Recommendation Form: Allows users to specify property requirements
  • Project Context Form: Captures project context information
  • Recommendation Results: Displays recommended materials with explanations
  • Detail View: Shows detailed property matches for each recommendation

Usage​

Getting Recommendations​

  1. Select a material type
  2. Specify property requirements
  3. Optionally provide project context
  4. Click "Get Recommendations"
  5. View the recommended materials
  6. Click on a material to see detailed property matches

Using Project Context​

  1. Enable "Include Project Context"
  2. Select a room type
  3. Select a project type
  4. Specify a style
  5. Select a budget level
  6. Add existing materials if applicable
  7. Get recommendations that consider the project context

Comparing Recommendations​

  1. Select materials for comparison
  2. Click "Compare Selected"
  3. View the detailed comparison between materials
  4. Make an informed decision based on the comparison

Managing Preferences​

  1. Navigate to the user preferences section
  2. View current property preferences
  3. Adjust preferences as needed
  4. Save changes to personalize future recommendations

Benefits​

  • Targeted Recommendations: Helps users find materials that meet their specific requirements
  • Time Savings: Reduces time spent searching through catalogs
  • Discovery: Introduces users to options they might not have considered
  • Project Optimization: Improves project outcomes by suggesting optimal materials
  • Personalization: Provides increasingly personalized recommendations over time
  • Context Awareness: Considers the specific context of each project