Patent ID: 9275342
Filing Date: 2016-03-01
CPC Classification: G06N,G06Q

Claim Text:
1. A computer implemented method for addressing needs of a particular visitor accessing a website, comprising: a processor collecting information about each visitor of a plurality of visitors accessing the website and storing the information as historical visitor information in a database; said processor training a visitor intent model based on said historical visitor information stored in the database; said processor fetching from said database a plurality of factors comprising any of locations of the visitors, time of visit, referral page, landing and/or exit pages, visitor interaction information, and past purchase history related to said plurality of visitors; said processor using behavior of said plurality of visitors to form a plurality of groups, said behavior comprising any of said plurality of factors; said processor using said plurality of factors to group said plurality of visitors into one or more groups of said plurality of groups; said processor developing models for said visitor behavior for each of said groups; said processor collecting information about a particular visitor accessing the website; said processor determining a group with which to associate the particular visitor based on the collected information about the particular visitor by modeling said visitor behavior with respect to a previous population of visitors in an identified group; after the visitor intent model is trained, said processor predicting intent of said particular visitor accessing the website based on information about the particular visitor and the visitor intent model by executing the visitor intent model to determine the predicted intent of the particular visitor based upon the group associated with the particular visitor and the information collected about the particular visitor.