METHOD AND APPARATUS FOR OPTIMIZING TAG OF POINT OF INTEREST

    公开(公告)号:US20210019564A1

    公开(公告)日:2021-01-21

    申请号:US16857542

    申请日:2020-04-24

    Abstract: Embodiments of the present disclosure provide a method and apparatus for optimizing a tag of a point of interest. The method includes: acquiring a set of points of interest and a set of tags of points of interest in the set of points of interest; generating a point of interest-tag matrix based on the set of points of interest and the set of tags of points of interest in the set of points of interest; extracting a feature of a point of interest-tag in the point of interest-tag matrix; inputting the feature of the point of interest-tag in the point of interest-tag matrix into a pre-trained ternary self-adaptive collaborative learning model, to obtain a point of interest-tag score matrix; and optimizing the set of tags of points of interest in the set of points of interest based on the point of interest-tag score matrix.

    Method and apparatus for data mining based on users' search behavior

    公开(公告)号:US10896461B2

    公开(公告)日:2021-01-19

    申请号:US14902306

    申请日:2014-06-25

    Abstract: A method for performing data mining based on search behavior of a user is provided. One embodiment includes acquiring search behavior information of users; determining financial instruments corresponding to search behavior of the user and determining user attention information corresponding to each of the determined financial instruments. Another embodiment includes acquiring search behavior information of users; determining financial need related characteristics of the users; and grouping the users into user groups according to the determined financial need related characteristics; and determining a financial instrument corresponding to each of the user groups by matching the financial need related characteristic of each of the user groups with instrument characteristics of financial instruments. By implementing the methods, accurate and objective data support can be provided for financial institutions to provide financial instruments that meet user needs and financial instruments that meet the users' actual needs can be provided.

    Method and apparatus for executing instruction for artificial intelligence chip

    公开(公告)号:US10891134B2

    公开(公告)日:2021-01-12

    申请号:US16505913

    申请日:2019-07-09

    Abstract: Embodiments of the present disclosure disclose a method and apparatus for executing an instruction for an artificial intelligence chip. A specific embodiment of the method comprises: receiving descriptive information for describing a neural network model sent by a central processing unit, the descriptive information including at least one operation instruction; analyzing the descriptive information to acquire the at least one operation instruction; determining, for an operation instruction of the at least one operation instruction, a special-purpose execution component executing the operation instruction, and locking the determined special-purpose execution component; sending the operation instruction to the determined special-purpose execution component; and unlocking the determined special-purpose execution component in response to receiving a notification for instructing the operation instruction being completely executed.

    SYSTEM AND METHOD FOR AUTOMATIC SECURE DELIVERY OF MODEL

    公开(公告)号:US20210004696A1

    公开(公告)日:2021-01-07

    申请号:US16895350

    申请日:2020-06-08

    Abstract: The present disclosure provides a system and a method for automatic secure delivery of a model, and belongs to the field of delivery technologies of artificial intelligence models. The system includes: a model warehouse, including at least one machine learning model; a prediction warehouse, including at least one prediction module matching metadata of the machine learning model in the model warehouse; and a processing engine, configured to have a function of assembling the machine learning model in the model warehouse and the prediction module in the prediction warehouse; in which the prediction module is configured to have an authentication function and an anti-debugging function, and the processing engine is configured to assemble the machine learning model in the model warehouse and the prediction module in the prediction warehouse which have a metadata matching relationship, and to generate a prediction service after the assembly is completed.

    Method and device for image recognition

    公开(公告)号:US10796685B2

    公开(公告)日:2020-10-06

    申请号:US15535006

    申请日:2015-12-01

    Abstract: The present disclosure discloses a method and an apparatus for recognizing an image. A specific implementation of the method comprises: acquiring a to-be-recognized image containing a to-be-recognized object; sending the to-be-recognized image to a server, and receiving identification information of a target object corresponding to the to-be-recognized object returned by the server, obtained by recognizing the to-be-recognized image, and a confidence parameter returned by the server; and determining the identification information of the target object as a recognition result when the confidence parameter is greater than a confidence threshold; or acquiring labeled information associated with the to-be-recognized image from a third-party platform and determining the labeled information as the recognition result when the confidence parameter is smaller than the confidence threshold.

    METHOD AND APPARATUS FOR DETERMINING ACCESS PATH OF CONTENT DELIVERY NETWORK

    公开(公告)号:US20200304555A1

    公开(公告)日:2020-09-24

    申请号:US16675810

    申请日:2019-11-06

    Abstract: Embodiments of the present disclosure relate to a method, apparatus, electronic device for determining an access path of a content delivery network, and a computer readable medium. A method may include: acquiring, in response to determining that an edge node receiving a user request fails to cache a requested resource, access performance information of each node in the content delivery network, and determining a target path from the edge node receiving the user request via a preset node corresponding to a requested target source station in the content delivery network to the target source station based on the access performance information of the each node in the content delivery network, where the preset node pre-establishes a connection with the requested target source station, and a distance between the preset node and the target source station meets a preset distance condition.

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