Method and system for test-driven bilayer graph model
AssigneeVisva Inc.
InventorsTao XIANG, Zhiyong LIU, Ziliang HUANG
Life of this patent
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AssigneeVisva Inc.
InventorsTao XIANG, Zhiyong LIU, Ziliang HUANG
Estimating the term…
A system and a method have been provided that utilizes proprietary algorithms to generate accurate recommendations to users, resulting in highly relevant content distribution and superior Signal-to-Noise Ratio for both individual users and user groups. The system and method also build a hierarchical structure of contents and accurate categories of people based on common features that are up-to-date. A bilayer social graph model can be automatically created and updated by this method to demonstrates user categories and features. The system and method can automatically extract the features of people without pre-defining the feature categories, and further categorizes the features according to the test result. The system and method avoid certain fundamental inaccuracy inherent in existing social network system and E-business recommendation system, such as static and disjointed labeling.
A method for categorization of information consumers and information, comprising:
A method for generating a bilayer social graph, comprising:
A computing device comprising:
Dependencies are inferred from the claim text.