Dense cluster filtering
    1.
    发明授权

    公开(公告)号:US11238070B1

    公开(公告)日:2022-02-01

    申请号:US16037950

    申请日:2018-07-17

    Applicant: A9.com, Inc.

    Inventor: Shabnam Ghadar

    Abstract: Systems and methods are described for determining clusters for large collections of content items. A fast cluster-identifying algorithm can be used to find high density areas where certain less interesting content items might be clustered in a feature space. An example algorithm is a mean shift algorithm. Once these high-density clusters are located, a system can remove them and proceed to analyze the remaining data. Removing these clusters of featureless content items can greatly reduce the collection size and also enhance the overall quality of the collection. Labels can then be applied to clusters and, when a content item is received, classification algorithms can be used to assign an appropriate label to the content item.

    RECOMMENDATIONS BASED ON OBJECT DETECTED IN AN IMAGE

    公开(公告)号:US20190295151A1

    公开(公告)日:2019-09-26

    申请号:US15926510

    申请日:2018-03-20

    Applicant: A9.com, Inc.

    Abstract: Various embodiments provide for recommending products from an electronic catalog that are aesthetically compatible with an existing item in a physical space based on a live camera view of the space, and rendering augmented reality views of the recommended products into the live camera view. Specifically, an image of the existing item is used to search a database of images of designed spaces that includes a corresponding object visually similar to the existing item. The image of the designed space may also include other items that are visually compatible with the corresponding object and therefore visually compatible with the existing item. Thus, the images of the other items are used to search an electronic catalog for available items that are visually similar to the other items and therefore would be visually compatible with the existing item.

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