Invention Grant
- Patent Title: User classification using a deep forest network
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Application No.: US16366841Application Date: 2019-03-27
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Publication No.: US10692089B2Publication Date: 2020-06-23
- Inventor: Yalin Zhang , Wenhao Zheng , Longfei Li
- Applicant: Alibaba Group Holding Limited
- Applicant Address: KY George Town, Grand Cayman
- Assignee: Alibaba Group Holding Limited
- Current Assignee: Alibaba Group Holding Limited
- Current Assignee Address: KY George Town, Grand Cayman
- Agency: Fish & Richardson P.C.
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@545c54fd
- Main IPC: G06Q20/40
- IPC: G06Q20/40 ; G06N3/04 ; G06K9/62 ; G06F16/906 ; G06N20/20

Abstract:
The present disclosure describes techniques for object classification using deep forest networks. One example method includes classifying a user object including features associated with the user based on a deep forest network including identifying one or more user static features, one or more user dynamic features, and one or more user association features from the features included in the user object; providing the user static features to first layers, the user dynamic features to second layers, and the user association features to third layers, the first, second, and third layers being different and each providing classification data to the next layer based at least in part on the input data and the provided user features.
Public/Granted literature
- US20190303943A1 USER CLASSIFICATION USING A DEEP FOREST NETWORK Public/Granted day:2019-10-03
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