公开(公告)号：US20180322404A1

公开(公告)日：2018-11-08

申请号：US16034281

申请日：2018-07-12

Applicant: Alibaba Group Holding Limited

Inventor： Yu Wang ,  Zhou Ye ,  Jineng Wang ,  Yang Yang ,  Fan Chen ,  Qian Qian ,  Zhaoping Dong

IPC: G06N5/04 ,  G06Q30/02

CPC classification number: G06N5/04 ,  G06Q30/0202 ,  G06Q50/02

Abstract: A method and an apparatus for data prediction based on time series are provided. The method includes obtaining historical time series data of a plurality of category objects, the category objects including one or more data objects; selecting feature category object(s) from the plurality of category objects, the feature category object(s) being category object(s) including a respective feature data object, and the respective feature data object being a data object having a life cycle less than a predetermined time threshold; and predicting a target data object from among data object(s) included in the feature category object(s) based on historical time series data corresponding to the feature category object(s), the target data object being a data object with future time series data that is generated in a future first predetermined time period and satisfies a predetermined growth trend.

公开(公告)号：US20180308152A1

公开(公告)日：2018-10-25

申请号：US16024517

申请日：2018-06-29

Applicant: Alibaba Group Holding Limited

Inventor： Yu Wang ,  Fan Chen ,  Yang Yang ,  Zhou Ye

IPC: G06Q30/06 ,  G06F17/30 ,  G06N99/00

CPC classification number: G06Q30/0631 ,  G06F17/3053 ,  G06F17/30554 ,  G06F17/30867 ,  G06N99/005 ,  G06Q30/02

Abstract: Data processing methods and apparatuses are provided. For a recommendation request submitted by a user, A matching between property information of the user and application criteria of all object display environments is performed to select various object display environments that satisfy the property information of the user, and object display environment(s) matching a first object of the request is/are analyzed based on historical records of the various object display environments, such as historical records of transaction data of the first object, historical records of application data of various first objects, and respective numbers of display positions of the various object display environments. A display recommendation that is generated based on the object display environment(s) can then be returned to a client of the user for presentation.