Patent ID: 11907820
Assignee: LENDINGCLUB CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
training a machine learning system to predict intent of a target party in a current negotiation;
wherein the training involves feeding the machine learning system:
negotiation data for each of a plurality of prior negotiations between parties that did not include the target party; and
outcome data for the plurality of prior negotiations, wherein the outcome data includes data indicating whether agreed-upon terms from each of the plurality of prior negotiations were complied with;
wherein the outcome data includes:
data for one or more negotiations that have a first label indicating agreed-upon terms were complied with; and
data for one or more negotiations that have a second label indicating agreed-upon terms were not complied with;

wherein, for each of the plurality of prior negotiations, the negotiation data is associated with a corresponding label from a set consisting of the first label and the second label;
after training the machine learning system, feeding current negotiation data to the trained machine learning system to cause the trained machine learning system to generate a first intent score that predicts a likelihood that the target party intends to comply with terms under consideration in the current negotiation;
wherein the current negotiation data includes data about interactions with the target party during the current negotiation; and
determining terms to offer to the target party in the current negotiation based, at least in part, on the first intent score.