daGama
  • Introduction
    • Description
    • Community
  • Problem and Solution
    • Problem
    • daGama solution
  • Product
    • For user
      • The impressions map and recommendation feed
      • Creating recommendations and iteneraries
      • User Guide
    • For business
      • Business Panel
      • Promotional Tools
  • Architecture
    • Multi-Level Antifake System (MLAFS)
      • User behavior analysis
      • Verification pipeline
    • Trust rating algorithm
      • AI Vasco recommendation algorithm
    • Gama Protocol
    • Blockchain
      • Membership Card (NFT ID)
      • Staking
  • Economics
    • Tokenomics
    • Token Utility
    • Role of the users
  • Inhouse
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  • Сonvenience of interaction
  • The map finds places and the feed finds impressions
  1. Product
  2. For user

The impressions map and recommendation feed

PreviousFor userNextCreating recommendations and iteneraries

Last updated 7 months ago

In the description section we mentioned that daGama is a Real World Locations (RWL) platform that leverages blockchain and artificial intelligence technologies to offer a unique experience with authentic content and restore trust in recommendations.

Now, more about the impressions map…

The impressions map is formed by the content that users create as they visit various places. The content that has passed through our systems appears on the map, and every user can see authentic recommendations. It can be said that every place marked on our map is a diamond.

Сonvenience of interaction

Vasco's AI recommendation algorithm is used to organise the people's map based on the interests of each individual user. On the map, secondary places are clustered (grouped) while preferred locations are "highlighted" according to filtering, text queries, and the user's individual choices. Our map features a unique design that highlights the best places with special design. These mechanisms significantly reduce the time required to find suitable places.

The map finds places and the feed finds impressions

Our algorithms have made the recommendation feed an invaluable tool for everyone and those who enjoy exploring new areas. Users are able to select a location that best fits their interests by viewing Memo and relavant content. We have created a set of filters that lets you categorize the establishments according to your mood, making it simpler for the user to interact with the recommendation feed.

All real-world locations in daGama are connected through a WEB3 infrastructure. This integration combines regular real-world places with the advantages of blockchain technology, promoting widespread adoption.