Patent ID: 9495962
Filing Date: 2016-11-15
CPC Classification: G06F,G06N,G06Q,G10L

Claim Text:
1. A computerized method for assigning relative scores to various possible intents on the part of a user approaching a virtual agent, the method comprising: employing a processor for predicting priority topics, including gathering first data and employing the first data to discern and seek user confirmation of at least one possible intent on the part of the user; and subsequent to receipt of said confirmation, employing a processor for gathering second data and employing the second data to provide service to the user to suit the user's confirmed intent, wherein a context tree having nodes is used to identify all topics and entities that occurred in a multi-step dialogue up to a current dialogue state corresponding to a current dialogue step, and their relevance for a current context created by said current dialogue step and wherein relevance between said nodes is related to distance therebetween, wherein intent scoring occurs in conjunction with a hosting dialogue system operative to resolve external data dependencies and wherein the hosting dialogue system resolves at least a first item employing available user data to produce an intent prediction result, including assigning relevance scores to significant topic closures and wherein at least said intention prediction result is used in a subsequent item to display a guided natural additional item, prediction scores are used to enhance NLP results and a most suitable topic is selected as a next focus for discussion with said user, and wherein dialog is conducted accordingly, with a mobile communication device serving the user.