公开(公告)号：US20220394337A1

公开(公告)日：2022-12-08

申请号：US17339700

申请日：2021-06-04

申请人： Adobe Inc.

发明人： Liana Vagharshakian ,  Atanu R. Sinha ,  Camille Girabawe ,  Gautam Choudhary ,  Omar Rahman ,  Scott Trafton ,  Vivek Sinha

IPC分类号： H04N21/466 ,  H04N21/45 ,  H04N21/258

摘要： The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and efficiently predicting conversion probability scores and key personas for target entities utilizing an artificial intelligence approach. For example, the disclosed systems utilize a conversion activity score neural network to predict conversion activity probability scores for target entities and utilize a persona prediction machine learning model to predict key personas associated with target entities. In particular, the disclosed systems utilize the conversion activity score neural network to generate a predicted conversion activity probability score for a target entity from input data including client device interactions of digital profiles belonging to the target entity as well as an entity feature vector representing characteristics of the target entity. The disclosed systems also (or alternatively) utilize a persona prediction machine learning model to determine a set of key personas for the target entity from the entity feature vector.