SHARING ITEM IMAGES BASED ON A SIMILARITY SCORE
    21.
    发明申请
    SHARING ITEM IMAGES BASED ON A SIMILARITY SCORE 有权
    基于类似分数共享项目图像

    公开(公告)号:US20140229494A1

    公开(公告)日:2014-08-14

    申请号:US14254740

    申请日:2014-04-16

    Applicant: eBay Inc.

    Abstract: Techniques for sharing item images based on a similarity score are described. For example, a machine receives an item listing for an item from a user device. The machine generates a similarity score for an existing image corresponding to one or more existing item listings by comparing the item listing received from the user device with the one or more existing item listings. The similarity score may indicate a degree of similarity between the item listing received from the user device and the one or more existing item listings corresponding to the existing image. The machine selects one or more existing images corresponding to the one or more existing item listings based on the one or more existing images having corresponding similarity scores that exceed a threshold value. The machine transmits a communication to the user device in response to the receiving of the item listing from the user device. The communication may include the one or more existing images.

    Abstract translation: 描述了基于相似性分数共享项目图像的技术。 例如,机器从用户设备接收项目的项目列表。 机器通过将从用户设备接收的项目列表与一个或多个现有项目列表进行比较来生成对应于一个或多个现有项目列表的现有图像的相似性得分。 相似性分数可以指示从用户设备接收的项目列表与对应于现有图像的一个或多个现有项目列表之间的相似度。 基于具有超过阈值的相应相似度分数的一个或多个现有图像,机器选择与一个或多个现有项目列表相对应的一个或多个现有图像。 响应于从用户设备接收到项目列表,机器向用户设备发送通信。 通信可以包括一个或多个现有图像。

    RANKING ALGORITHM FOR SEARCH OUERIES
    22.
    发明申请
    RANKING ALGORITHM FOR SEARCH OUERIES 有权
    排序搜索算法

    公开(公告)号:US20140214817A1

    公开(公告)日:2014-07-31

    申请号:US14229954

    申请日:2014-03-30

    Applicant: eBay Inc.

    CPC classification number: G06F17/3053 G06F17/30672 G06F17/30675 G06F17/3097

    Abstract: In various embodiments, a method of prioritizing search results in an electronic environment is disclosed. The method includes selecting a plurality of equivalent keywords responsive to a search query from an end-user, determining a rank of each of the plurality of equivalent keywords, selecting a plurality of most highly ranked keywords from the plurality of equivalent keywords, and preparing a response including the plurality of most highly ranked keywords.

    Abstract translation: 在各种实施例中,公开了一种在电子环境中优先搜索结果的方法。 所述方法包括响应于来自最终用户的搜索查询来选择多个等效关键字,确定所述多个等价关键字中的每一个的等级,从所述多个等效关键词中选择多个最高排名的关键字,以及准备 响应包括多个最高排名的关键字。

    Systems and methods for contextual recommendations

    公开(公告)号:US10757202B2

    公开(公告)日:2020-08-25

    申请号:US14951799

    申请日:2015-11-25

    Applicant: eBay Inc.

    Abstract: A method and a system for making contextual recommendations to users on a network-based system. For example, activity associated with a user interacting with a network-based system is tracked. Based, at least in part, on the tracked user activity on the network-based system, a recommendation relationship type is selected. The recommendation relationship type can be either a substitute relationship type or a complement relationship type. A recommended object can be selected based at least in part on the recommendation relationship type and a first object accessed by the user interacting with the network-based system. A recommendation can be generated for the recommended object for presentation to the user interacting with the network-based system.

    PREDICTIVE ALGORITHM FOR SEARCH BOX AUTO-COMPLETE
    26.
    发明申请
    PREDICTIVE ALGORITHM FOR SEARCH BOX AUTO-COMPLETE 审中-公开
    搜索框自动完成的预测算法

    公开(公告)号:US20150193449A1

    公开(公告)日:2015-07-09

    申请号:US14665796

    申请日:2015-03-23

    Applicant: eBay Inc.

    CPC classification number: G06F17/3064 G06F17/3097

    Abstract: In various exemplary embodiments, a system and associated method to predict search results in an electronic environment is disclosed. The system architecture comprises a communications module to receive a query from a remote end-user where the query includes one or more characters contained within a first single communications packet. A query engine is coupled to the communications module. The query engine uses the one or more characters from the query to predictively match keywords contained within a data structure (e.g., a database) and forms a response from the one or more characters. The response is transmitted back to the end-user within a second single TCP communications packet.

    Abstract translation: 在各种示例性实施例中,公开了一种用于预测电子环境中的搜索结果的系统和相关联的方法。 系统架构包括通信模块,用于从远程终端用户接收查询,其中查询包括包含在第一单个通信分组内的一个或多个字符。 查询引擎耦合到通信模块。 查询引擎使用来自查询的一个或多个字符来预测地匹配包含在数据结构(例如,数据库)中的关键字,并且形成来自该一个或多个字符的响应。 该响应在第二单个TCP通信分组内传送回终端用户。

    Systems and methods for making contextual recommendations
    27.
    发明授权
    Systems and methods for making contextual recommendations 有权
    制定背景建议的制度和方法

    公开(公告)号:US08756186B2

    公开(公告)日:2014-06-17

    申请号:US13776092

    申请日:2013-02-25

    Applicant: eBay Inc.

    Abstract: A method and a system for making contextual recommendations to users on a network-based system. For example, a first and second related category are selected and a relationship score is calculated representing an aspect of the relationship between the first and second related categories. A relationship type is selected to represent the relationship between the first and second categories using the relationship score. The relationship type is one of either a complement or a substitute. A complement relationship indicates a complementary relationship between the first and second related categories. While a substitute relationship indicates a substitutionary relationship between the first and second categories. The relationship type is stored associated with the first and second related categories. Using the selected relationship type, a recommendation is provided to a user on the network-based system.

    Abstract translation: 一种在基于网络的系统上向用户提供上下文建议的方法和系统。 例如,选择第一和第二相关类别,并计算表示第一和第二相关类别之间的关系的方面的关系得分。 选择关系类型以使用关系得分表示第一类和第二类之间的关系。 关系类型是补充或替代之一。 互补关系表示第一和第二相关类别之间的互补关系。 替代关系表示第一类和第二类之间的替代关系。 存储与第一和第二相关类别相关联的关系类型。 使用所选择的关系类型,在基于网络的系统上向用户提供建议。

    Ranking algorithm for search queries

    公开(公告)号:US10324938B2

    公开(公告)日:2019-06-18

    申请号:US15226707

    申请日:2016-08-02

    Applicant: eBay Inc.

    Abstract: In various exemplary embodiments, a system and associated method for prioritizing search results in an electronic environment is disclosed. In one embodiment, a plurality of characters is received from an end-user as a query. A plurality of equivalent keywords is selected responsive to the query with each of the equivalent keywords being evaluated based on a probability of matching the query of the end-user. A rank of each of the equivalent keywords is determined to form a response, which is then transmitted to the end-user. Other methods and related systems are disclosed.

    Predictive algorithm for search box auto-complete

    公开(公告)号:US10185762B2

    公开(公告)日:2019-01-22

    申请号:US14665796

    申请日:2015-03-23

    Applicant: eBay Inc.

    Abstract: In various exemplary embodiments, systems and associated methods to predict search results in an electronic environment are disclosed. In one embodiment, a method to provide responses to a search request includes receiving, from an end-user, one or more characters that form a portion of the search request. Prior to receiving a completed version of the search request from the end-user, a plurality of keywords is predicted based on the one or more characters. The prediction is based on the most probable keywords selected from a plurality of prior requests stored in a database. A plurality of responses is prepared based on the most probable keywords. The responses are fit within a single communications packet and returned as a reply to the search request. Other systems and methods are disclosed.

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