SayPro Description of the Activity: Optimized Search Algorithm

SayPro Monthly January SCMR-5 SayPro Monthly Monthly Classified Location Based Search: Enable search and filter based on geographic location by SayPro Classified Office under SayPro Marketing Royalty SCMR

Objective

The goal of this activity is to enhance the SayPro Classified platform’s search functionality by implementing an optimized search algorithm that improves the relevance of results and enables location-based filtering. This initiative is part of the SayPro Monthly January SCMR-5 project under SayPro Marketing Royalty SCMR and is managed by the SayPro Classified Office.

Key Features of the Optimized Search Algorithm

1. Sort by Relevance

• The system will rank and display classified listings based on keyword relevance and geographic proximity.
• The algorithm will analyze user queries and match them with ad titles, descriptions, and category tags to provide more accurate search results.
• A weighted ranking system will be used to prioritize results that closely match user intent and search history (if applicable).

2. Keyword Matching & Ranking

• The search engine will use natural language processing (NLP) to understand synonyms and related terms.
• The algorithm will apply word stemming (e.g., “buying” and “buy” will be treated similarly).
• Advertisements with exact keyword matches in the title or description will rank higher than those with partial matches.
• The system will prioritize frequently clicked listings and highly rated sellers for better user experience.

3. Location-Based Search & Filtering

• Users will be able to filter results by geographic region, city, or proximity to their current location.
• The system will support:
  • Automatic location detection (using IP address or GPS for mobile users).
  • Manual selection of search radius (e.g., 5km, 10km, 50km).
  • Filtering by specific cities or neighborhoods based on predefined SayPro Classified Office zones.
• Ads will be geotagged, ensuring that only relevant local listings appear.

Implementation Plan

Phase 1: Algorithm Development & Testing

• Develop a search ranking model that assigns a relevance score to listings based on keyword matching, ad engagement, and geographic proximity.
• Test different ranking models using A/B testing to determine the most effective approach.
• Implement real-time indexing, ensuring that new ads appear in search results instantly.

Phase 2: Location-Based Search Deployment

• Integrate Google Maps API or an alternative GIS system to refine geographic filtering.
• Enable radius-based search with a user-friendly interface.
• Allow users to set location preferences for future searches.

Phase 3: Optimization & Continuous Improvement

• Monitor search performance and user behavior to refine ranking algorithms.
• Optimize query response time for faster and smoother user experience.
• Introduce personalized search recommendations based on past searches.

Expected Outcomes

• Higher engagement and conversions as users find relevant listings faster.
• Improved ad visibility for sellers through a fair and efficient ranking system.
• Enhanced user experience with intuitive search and filtering options.
• Stronger market positioning for SayPro Classifieds as a leader in location-based online marketplaces.