| 摘要 |
<p>Methods and systems for improving user generated ratings by machine classification of an entity are disclosed. Customer rating systems can be analyzed and the corresponding entity interaction on social media networks can be observed. A humanness rating (H value) can be assigned to an entity. The humanness rating can be determined from a multivariate function. The function's variables can be measurements of the entity's behavior on one or more social networks. The variables can be intrinsic to the entity. The variables can be based on account activity information. The variables can be based on social network information. The multivariate function can be implemented as a Bayesian classifier. The multivariate function can be implemented as a neural net. A calculated H value can be used to weigh ratings by an entity.</p> |
