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    IMAGE-BASED POPULARITY PREDICTION
    1.
    发明申请
    IMAGE-BASED POPULARITY PREDICTION 审中-公开

    公开(公告)号：US20190095807A1

    公开(公告)日：2019-03-28

    申请号：US16200881

    申请日：2018-11-27

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Sung Hwan Chung

    IPC: G06N5/04 ,  G06F17/00 ,  G06F17/30 ,  G06K9/00 ,  G06K9/46 ,  G06K9/68 ,  G06K9/20 ,  G06Q30/02 ,  G06K9/62

    Abstract: A machine may be configured to access an image of an item described by a description of the item. The machine may determine an image quality score of the image based on an analysis of the image. A request for search results that pertain to the description may be received by the machine, and the machine may present a search result that references the item's image, based on its image quality score. Also, the machine may access images of items and descriptions of items and generate a set of most frequent text tokens included in the item descriptions. The machine may identify an image feature exhibited by an item's image and determine that a text token from the corresponding item description matches one of the most frequent text tokens. A data structure may be generated by the machine to correlate the identified image feature with the text token.

    Image-based popularity prediction
    2.
    发明授权
    Image-based popularity prediction 有权

    公开(公告)号：US10176429B2

    公开(公告)日：2019-01-08

    申请号：US14621296

    申请日：2015-02-12

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Sung Hwan Chung

    IPC: G06F17/30 ,  G06K9/00 ,  G06N5/04 ,  G06K9/46 ,  G06F17/00 ,  G06K9/68 ,  G06K9/20 ,  G06Q30/02 ,  G06K9/62

    Abstract: Methods and systems for selecting listing based on a click predictions score are disclosed. The server system includes one or more processors, memory, and one or more programs stored in the memory. The server system receives a search query from a client system. In response to receiving the search query, the server system identities a plurality of item listings relevant to the received search query. For each identified item listing, the server system generates a click prediction score, wherein a click predication score represents the estimated likelihood that a user will click on the listing. The server system ranks the plurality of item listings based on the generated click prediction score and selects a predetermined number of the item listings for transmission to the client system based on their ranking and associated click prediction score. The server system transmits one or more item listings to the client system for display.

    Image quality assessment to merchandise an item
    3.
    发明授权
    Image quality assessment to merchandise an item 有权
    图像质量评估商品一个项目

    公开(公告)号：US09519918B2

    公开(公告)日：2016-12-13

    申请号：US14180255

    申请日：2014-02-13

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Naren Chittar ,  Ali Dasdan ,  Sanjay Pundlkrao Ghatare ,  Sandip Namdeo Gaikwad ,  Sung Hwan Chung

    IPC: G06K9/00 ,  G06Q30/02 ,  G06T7/00

    CPC classification number: G06Q30/0276 ,  G06F17/3025 ,  G06F17/30256 ,  G06F17/30259 ,  G06F17/30265 ,  G06F17/3053 ,  G06Q30/0243 ,  G06T7/0002 ,  G06T2207/30168

    Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

    Abstract translation: 基于图像的特征可能与描绘产品的图像的点击率显着相关，这可能为非正式概念提供更正式的基础，即与质量差的图像相比，高质量的图像将导致更好的点击率 。 因此，图像评估机被配置为分析基于图像的特征以提高购物搜索应用（例如，产品搜索引擎）的点击率。 此外，图像评估机可以基于图像质量因素对搜索结果进行排序，并且可以通知卖方关于低质量图像。 这可能会影响网上购物网站的品牌价值，从而对网络购物网站产生积极的长期影响。

    IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM
    5.
    发明申请
    IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM 审中-公开
    图像质量评估商品物品

    公开(公告)号：US20160154822A1

    公开(公告)日：2016-06-02

    申请号：US15015281

    申请日：2016-02-04

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Naren Chittar ,  Ali Dasdan ,  Sanjay Pundlkrao Ghatare ,  Sandip Namdeo Gaikwad ,  Sung Hwan Chung

    IPC: G06F17/30 ,  G06Q30/02

    CPC classification number: G06Q30/0276 ,  G06F16/24578 ,  G06F16/58 ,  G06F16/5838 ,  G06F16/5854 ,  G06Q30/0243 ,  G06T7/0002 ,  G06T2207/30168

    Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

    Abstract translation: 基于图像的特征可能与描绘产品的图像的点击率显着相关，这可能为非正式概念提供更正式的基础，即与质量差的图像相比，高质量的图像将导致更好的点击率 。 因此，图像评估机被配置为分析基于图像的特征以提高购物搜索应用（例如，产品搜索引擎）的点击率。 此外，图像评估机可以基于图像质量因素对搜索结果进行排序，并且可以通知卖方关于低质量图像。 这可能会影响网上购物网站的品牌价值，从而对网络购物网站产生积极的长期影响。

    IMAGE-BASED POPULARITY PREDICTION
    6.
    发明申请
    IMAGE-BASED POPULARITY PREDICTION 审中-公开
    基于图像的人口预测

    公开(公告)号：US20150154503A1

    公开(公告)日：2015-06-04

    申请号：US14621296

    申请日：2015-02-12

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Sung Hwan Chung

    IPC: G06N5/04 ,  G06F17/30

    CPC classification number: G06N5/048 ,  G06F17/00 ,  G06F17/30 ,  G06F17/30247 ,  G06F17/3025 ,  G06F17/30268 ,  G06F17/3053 ,  G06F17/30536 ,  G06F17/30539 ,  G06F17/30545 ,  G06F17/30864 ,  G06K9/00 ,  G06K9/0014 ,  G06K9/20 ,  G06K9/46 ,  G06K9/4647 ,  G06K9/6201 ,  G06K9/6231 ,  G06K9/68 ,  G06Q30/02

    Abstract: A machine may be configured to access an image of an item described by a description of the item. The machine may determine an image quality score of the image based on an analysis of the image. A request for search results that pertain to the description may be received by the machine, and the machine may present a search result that references the item's image, based on its image quality score. Also, the machine may access images of items and descriptions of items and generate a set of most frequent text tokens included in the item descriptions. The machine may identify an image feature exhibited by an item's image and determine that a text token from the corresponding item description matches one of the most frequent text tokens. A data structure may be generated by the machine to correlate the identified image feature with the text token.

    Abstract translation: 机器可以被配置为访问由项目的描述描述的项目的图像。 该机器可以基于图像的分析来确定图像的图像质量得分。 针对描述的搜索结果的请求可以由机器接收，并且机器可以基于其图像质量得分来呈现引用该项目的图像的搜索结果。 此外，机器可以访问项目的图像和项目的描述，并且生成包括在项目描述中的一组最常见的文本令牌。 机器可以识别由项目的图像展示的图像特征，并且确定来自相应项目描述的文本标记与最常见的文本标记之一匹配。 可以由机器生成数据结构以将所识别的图像特征与文本标记相关联。

    Image quality assessment to merchandise an item
    7.
    发明授权
    Image quality assessment to merchandise an item 有权

    公开(公告)号：US11282116B2

    公开(公告)日：2022-03-22

    申请号：US16666858

    申请日：2019-10-29

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Naren Chittar ,  Ali Dasdan ,  Sanjay Pundlkrao Ghatare ,  Sandip Namdeo Gaikwad ,  Sung Hwan Chung

    IPC: G06K9/00 ,  G06Q30/02 ,  G06F16/58 ,  G06F16/583 ,  G06F16/2457 ,  G06T7/00

    Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

    IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM
    8.
    发明申请
    IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM 审中-公开

    公开(公告)号：US20200160403A1

    公开(公告)日：2020-05-21

    申请号：US16666858

    申请日：2019-10-29

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Naren Chittar ,  Ali Dasdan ,  Sanjay Pundlkrao Ghatare ,  Sandip Namdeo Gaikwad ,  Sung Hwan Chung

    IPC: G06Q30/02 ,  G06T7/00 ,  G06F16/2457 ,  G06F16/583 ,  G06F16/58

    Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

    IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM
    10.
    发明申请
    IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM 有权
    图像质量评估商品物品

    公开(公告)号：US20140164146A1

    公开(公告)日：2014-06-12

    申请号：US14180255

    申请日：2014-02-13

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Naren Chittar ,  Ali Dasdan ,  Sanjay Pundlkrao Ghatare ,  Sandip Namdeo Gaikwad ,  Sung Hwan Chung

    IPC: G06Q30/02 ,  G06T7/00

    CPC classification number: G06Q30/0276 ,  G06F17/3025 ,  G06F17/30256 ,  G06F17/30259 ,  G06F17/30265 ,  G06F17/3053 ,  G06Q30/0243 ,  G06T7/0002 ,  G06T2207/30168

    Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

    Abstract translation: 基于图像的特征可能与描绘产品的图像的点击率显着相关，这可能为非正式概念提供更正式的基础，即与质量差的图像相比，高质量的图像将导致更好的点击率 。 因此，图像评估机被配置为分析基于图像的特征以提高购物搜索应用（例如，产品搜索引擎）的点击率。 此外，图像评估机可以基于图像质量因素对搜索结果进行排序，并且可以通知卖方关于低质量图像。 这可能会影响网上购物网站的品牌价值，从而对网络购物网站产生积极的长期影响。

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