33 results about "Correlation clustering" patented technology

A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

The invention discloses a traffic flow forecasting method based on road clustering and double-layer bidirectional LSTM, including: 1) When there is a missing value in the training data, the missing value is filled in the way of surrounding average for the missing value, Improve prediction accuracy; 2) Propose a method of correlation clustering of roads based on historical traffic data, divide roads into several groups, and use time information and spatial information at the same time in the data preprocessing stage to improve prediction accuracy; 3) Design a A two-layer bidirectional LSTM deep neural network model, which improves the prediction accuracy of the model; 4) proposes a method for batch training and testing the network model to speed up the training and testing speed of the neural network model; 5) proposes a Multi-model fusion method to improve prediction accuracy. The invention simultaneously improves the prediction speed and accuracy of the deep neural network in traffic flow prediction.

The invention belongs to the technical field of information, and particularly relates to a user cost configuration method and a user cost configuration system. The user cost configuration method comprises the steps of: S1, acquiring network data of users, and carrying out service analysis on the network data of the users; S2, generating service vector sets corresponding to the users according to service types of the network data of the users, carrying out correlation clustering on users with the same internet surfing preference, and carrying out preference classification on the service types of the users; S3, according to service preference types of the users, calculating convergence groups of different service preference types in a set time period and service characteristics correspondingto the convergence groups; and S4, according to the service characteristics corresponding to the convergence groups, configuring package modes to the users. According to the user cost configuration method and the user cost configuration system, a charge mode of dynamically sensing the service preferences of the users is implemented, and experience of the users can be greatly improved.