CALL RECOMMENDATION SYSTEM AND CALL RECOMMENDATION METHOD BASED ON ARTIFICIAL INTELLIGENCE

摘要

The present invention provides a call recommendation system based on artificial intelligence. The call recommendation system includes a data collection unit, a matching time prediction unit, a price determination unit, and a final ranking unit. When a service is requested from a service user, the data collection unit includes first historical data indicating the past location of the service user, first current data indicating the current location of the service user, and second historical data indicating the past location of the service provider and the service provider Collects second current data indicating the current location of The matching time prediction unit inputs the first and second past data and the first and second current data into a Recurrent Neural Network (RNN) learning model to predict the future location of the service user and the future location of the service provider, and When a service provider selects a service by inputting the first prediction data on the location and the second prediction data on the future location of the service provider into the predictive learning model, after the service provider completes the service, the service provider will be matched with the next service user. Estimate how long it will take to match. The pricing unit determines the price so that the price for the service increases as the matching time increases. The final ranking unit determines the recommendation ranking of the service from among the services requested by the service provider, based on the preference data and the price indicating the preference of the service provider with respect to the service. Each of the RNN learning model and the predictive learning model is based on a deep learning algorithm.