Abstract:
People in professional networking often come across a great connect and stumble upon the question of “Why didn’t I meet this person before?” We try to create this aha moment in networking by collecting the highest quality and comprehensive data from the user, or Omni dimensional data.
After we generate the output context file at the user end that contains all the necessary processed information for finding a suitable connection. We do a thorough batch processing NXN search and rank them according to the user’s current needs (Deep Comparator). A user can also retrieve connections in real time using natural language search (Quick Comparator).
During our research we found that People are better able to recommend connections for one another, moreover the connections suggested by them are also easier to approach since the person is recommended by someone you know. To empower these matchmakers, we have a hybrid approach where we recommend connections to these matchmakers. The matchmaker uses his intuition and expertise and then recommends the connection to his peer.
The above module will take a lot of time and human effort. So our model would learn from these matchmakers and a matchmaker chatbot will be created which will have a personality say for eg. of a psychologist, or statistician or a friendly friend. This personality will then suggest the description containing why this connect is relevant using generative AI.
[[Brainchain Tech Framework]]
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