公开(公告)号：US11556822B2

公开(公告)日：2023-01-17

申请号：US16884151

申请日：2020-05-27

申请人： Oath Inc.

发明人： Su-Chen Lin ,  Zhungxun Liao ,  Jian-Chih Ou ,  Tzu-Chiang Liou

IPC分类号： G06N5/04 ,  H04L29/08 ,  G06N3/10 ,  H04L67/50 ,  G06N5/02 ,  G06N3/04 ,  G06N7/00

摘要： One or more computing devices, systems, and/or methods for cross-domain action prediction are provided. Action sequence embeddings are generated based upon a textual embedding and a graph embedding utilizing past user action sequences corresponding to sequences of past actions performed by users across a plurality of domains. An autoencoder is trained to utilize the action sequence embeddings to project the action sequence embeddings to obtain intent space vectors. A service switch classifier is trained using the intent space vectors. In response to the service switch classifier predicting that a current user will switch from a current domain to a next domain, the current user is provided with a recommendation of an action corresponding to the next domain.

公开(公告)号：US20210374577A1

公开(公告)日：2021-12-02

申请号：US16884151

申请日：2020-05-27

申请人： Oath Inc.

发明人： Su-Chen Lin ,  Zhungxun Liao ,  Jian-Chih Ou ,  Tzu-Chiang Liou

IPC分类号： G06N5/04 ,  H04L29/08

摘要： One or more computing devices, systems, and/or methods for cross-domain action prediction are provided. Action sequence embeddings are generated based upon a textual embedding and a graph embedding utilizing past user action sequences corresponding to sequences of past actions performed by users across a plurality of domains. An autoencoder is trained to utilize the action sequence embeddings to project the action sequence embeddings to obtain intent space vectors. A service switch classifier is trained using the intent space vectors. In response to the service switch classifier predicting that a current user will switch from a current domain to a next domain, the current user is provided with a recommendation of an action corresponding to the next domain.