Invention Grant
- Patent Title: Cross-domain action prediction
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Application No.: US16884151Application Date: 2020-05-27
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Publication No.: US11556822B2Publication Date: 2023-01-17
- Inventor: Su-Chen Lin , Zhungxun Liao , Jian-Chih Ou , Tzu-Chiang Liou
- Applicant: Oath Inc.
- Applicant Address: US NY New York
- Assignee: Oath Inc.
- Current Assignee: Oath Inc.
- Current Assignee Address: US NY New York
- Agency: Cooper Legal Group LLC
- Main IPC: G06N5/04
- IPC: G06N5/04 ; H04L29/08 ; G06N3/10 ; H04L67/50 ; G06N5/02 ; G06N3/04 ; G06N7/00

Abstract:
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.
Public/Granted literature
- US20210374577A1 CROSS-DOMAIN ACTION PREDICTION Public/Granted day:2021-12-02
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