中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

19 records (took 0.028 seconds)

    Predicting and managing requests for computing resources or other resources
    2.
    发明授权
    Predicting and managing requests for computing resources or other resources 有权

    公开(公告)号：US11556791B2

    公开(公告)日：2023-01-17

    申请号：US17088403

    申请日：2020-11-03

    Applicant: SAS Institute Inc.

    Inventor： Kedar Shriram Prabhudesai ,  Varunraj Valsaraj ,  Jinxin Yi ,  Daniel Keongson Woo ,  Roger Lee Baldridge, Jr.

    IPC: G06N3/08

    Abstract: Requests for computing resources and other resources can be predicted and managed. For example, a system can determine a baseline prediction indicating a number of requests for an object over a future time-period. The system can then execute a first model to generate a first set of values based on seasonality in the baseline prediction, a second model to generate a second set of values based on short-term trends in the baseline prediction, and a third model to generate a third set of values based on the baseline prediction. The system can select a most accurate model from among the three models and generate an output prediction by applying the set of values output by the most accurate model to the baseline prediction. Based on the output prediction, the system can cause an adjustment to be made to a provisioning process for the object.

    Method and system for obtaining item-based recommendations
    4.
    发明授权
    Method and system for obtaining item-based recommendations 有权

    公开(公告)号：US11842379B2

    公开(公告)日：2023-12-12

    申请号：US18169592

    申请日：2023-02-15

    Applicant: SAS Institute Inc.

    Inventor： Jonathan Lee Walker ,  Hardi Desai ,  Xuejun Liao ,  Varunraj Valsaraj

    IPC: G06Q30/00 ,  G06Q30/0601 ,  G06N5/04

    CPC classification number: G06Q30/0631 ,  G06N5/04

    Abstract: The computing device obtains a training data set related to a plurality of historic user inputs associated with preferences of one or more services or items from an entity. For each of the one or more services or items, the computing device executes operations to train a plurality of models using the training data set to generate a plurality of recommended models, apply a validation data set to generate a plurality of predictions from the plurality of recommended models, obtain a weight of each metric of a plurality of metrics from the entity, obtain user inputs associated with user preferences, and determine a relevancy score for each metric. The computing device selects a recommended model based on the relevancy score of the selected metric or a combination of selected metrics, generates one or more recommendations for the users, and outputs the one or more generated recommendations to the users.

    Flexible computer architecture for performing digital image analysis
    5.
    发明授权
    Flexible computer architecture for performing digital image analysis 有权

    公开(公告)号：US11734919B1

    公开(公告)日：2023-08-22

    申请号：US17988463

    申请日：2022-11-16

    Applicant: SAS Institute Inc.

    Inventor： Daniele Cazzari ,  Hardi Desai ,  Allen Joseph Langlois ,  Jonathan Walker ,  Thomas Tuning ,  Saurabh Mishra ,  Varunraj Valsaraj

    IPC: G06V10/94

    CPC classification number: G06V10/94

    Abstract: A flexible computer architecture for performing digital image analysis is described herein. In some examples, the computer architecture can include a distributed messaging platform (DMP) for receiving images from cameras and storing the images in a first queue. The computer architecture can also include a first container for receiving the images from the first queue, applying an image analysis model to the images, and transmitting the image analysis result to the DMP for storage in a second queue. Additionally, the computer architecture can include a second container for receiving the image analysis result from the second queue, performing a post-processing operation on the image analysis result, and transmitting the post-processing result to the DMP for storage in a third queue. The computer architecture can further include an output container for receiving the post-processing result from the third queue and generating an alert notification based on the post-processing result.

    METHOD AND SYSTEM FOR OBTAINING ITEM-BASED RECOMMENDATIONS
    8.
    发明公开
    METHOD AND SYSTEM FOR OBTAINING ITEM-BASED RECOMMENDATIONS 审中-公开

    公开(公告)号：US20230267527A1

    公开(公告)日：2023-08-24

    申请号：US18169592

    申请日：2023-02-15

    Applicant: SAS Institute Inc.

    Inventor： Jonathan Lee Walker ,  Hardi Desai ,  Xuejun Liao ,  Varunraj Valsaraj

    IPC: G06Q30/0601 ,  G06N5/04

    CPC classification number: G06Q30/0631 ,  G06N5/04

    Abstract: The computing device obtains a training data set related to a plurality of historic user inputs associated with preferences of one or more services or items from an entity. For each of the one or more services or items, the computing device executes operations to train a plurality of models using the training data set to generate a plurality of recommended models, apply a validation data set to generate a plurality of predictions from the plurality of recommended models, obtain a weight of each metric of a plurality of metrics from the entity, obtain user inputs associated with user preferences, and determine a relevancy score for each metric. The computing device selects a recommended model based on the relevancy score of the selected metric or a combination of selected metrics, generates one or more recommendations for the users, and outputs the one or more generated recommendations to the users.

Patent Agency Ranking