METHOD AND SYSTEM FOR RECOMMENDING TARGET OBJECT INFORMATION

    公开(公告)号:US20180196853A9

    公开(公告)日:2018-07-12

    申请号:US15210564

    申请日:2016-07-14

    发明人: Jia Rong

    IPC分类号: G06F17/30

    摘要: Embodiments of the present application relate to a method for recommending target object information, a system for recommending target object information, a client for recommending target object information, a server for recommending target object information, and a computer program product for recommending target object information. A method for recommending target object information is provided. The method includes receiving a target object informational recommendation request including information pertaining to a plurality of short-listed objects selected, determining historical selection information on the plurality of short-listed objects, the historical selection information including a historical count, a selection count, or both, and sending the part or all of the short-listed object historical selection information to a client.

    Region-specific image download probability modeling

    公开(公告)号:US09996555B1

    公开(公告)日:2018-06-12

    申请号:US15666194

    申请日:2017-08-01

    IPC分类号: G06F17/30 G06K9/66

    摘要: Methods for prioritizing a set of images identified as responsive to an image search query from a user based on features of the images identified as relevant to a geographic region of the user are provided. In one aspect, the method includes submitting a plurality of images to a computer-operated convolutional neural network that is configured to analyze image pixel data for each of the plurality of images to identify features, in each of the plurality of images, influencing a download probability of the corresponding image in a plurality of geographic regions. The method also includes receiving, from the neural network and for each of the plurality of images, a download probability of each image for each of the plurality of geographic regions. Systems and machine-readable media are also provided.

    REDUCING COMPARISONS FOR TOKEN-BASED ENTITY RESOLUTION

    公开(公告)号:US20180107730A1

    公开(公告)日:2018-04-19

    申请号:US15294481

    申请日:2016-10-14

    申请人: SAP SE

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30442 G06F17/30528

    摘要: A token-based database management system described herein may reduce an amount of comparisons during entity resolution of records. The system includes a token creator configured to create tokens from records, a token-record mapping creator configured to create a token-record mapping of tokens to records, a token importance calculator configured to calculate token importance values for the tokens, a token pruner configured to identify a token of the current record as unimportant based on token importance values of the tokens of the current record, and to remove the unimportant token from the token-record mapping, a record selector configured to select only records sharing at least one common token with the current record, and a record comparator configured to compare the current record with each of the selected records to determine whether the current record matches any of the selected records.

    Predicting user needs for a particular context

    公开(公告)号:US09940362B2

    公开(公告)日:2018-04-10

    申请号:US14721613

    申请日:2015-05-26

    申请人: Google LLC

    IPC分类号: G06F17/30

    摘要: A computing system is described that identifies, based on search histories associated with a group of computing devices for a particular context, a task performed by users of the group of computing devices for the particular context. The computing system determines a first degree of likelihood of the task being performed by the users of the group of computing devices for the particular context and determines a second degree of likelihood of the task being performed by the users of the group of computing devices for a broader context that includes the particular context and at least one other context. Responsive to determining that the first degree of likelihood exceeds the second degree of likelihood by a threshold amount, and that a current context of a particular computing device corresponds to the particular context, the computing system transmits, to the particular computing device, information for completing the task for the particular context.