Machine-learned disambiguation of user action data

    公开(公告)号:US10579682B1

    公开(公告)日:2020-03-03

    申请号:US15493013

    申请日:2017-04-20

    Applicant: Google Inc.

    Inventor: Mathew Cowan

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving data that represents actions taken by a particular user with respect to entities of a plurality of entity types, disambiguating the data by identifying entities specified in the data using a machine learning based annotator that is trained to recognize entities and annotating the data, receiving a query specific from the particular user, querying the data that represents actions taken by the particular user, generating an answer to the query from the data representing the actions taken by the particular user, and providing the answer to the query.

    PROVIDING INFORMATION BASED ON INTENT
    2.
    发明申请

    公开(公告)号:US20180357238A1

    公开(公告)日:2018-12-13

    申请号:US13929461

    申请日:2013-06-27

    Applicant: Google Inc.

    CPC classification number: G06F17/3053

    Abstract: A system may identify one or more actions performed by a user to satisfy an intent for information regarding an entity; and determine a correlation score for the one or more actions. The correlation score may indicate a level of correlation between the one or more actions and satisfying the intent for the information regarding the entity. The system may determine that the correlation score satisfies a first threshold; obtain information identifying one or more changes associated with the entity; and determine a change score for the one or more changes. The change score may indicate a level of change that is associated with the entity. The system may determine that the change score satisfies a second threshold; and provide the information identifying the one or more changes to the user based on the correlation score satisfying the first threshold and the change score satisfying the second threshold.

    Method, medium, and system for online fraud prevention based on user physical location data

    公开(公告)号:US09811830B2

    公开(公告)日:2017-11-07

    申请号:US13935400

    申请日:2013-07-03

    Applicant: GOOGLE INC.

    Inventor: Mathew Cowan

    CPC classification number: G06Q20/4016 G06Q20/12 G06Q20/20

    Abstract: A user conducts activities, such as researching a product online or visiting a store that sells the product. A user then utilizes a risk analysis system to receive and store user activity data for the user's activities. When a purchase attempt is made with the user's financial account, a merchant sends a transaction request to the risk analysis system. The risk analysis system locates a record for the user and determines whether the product is identified in the user activity data. If the product is identified, the risk analysis system provides a risk score to the merchant indicating that the transaction is unlikely fraudulent. Alternatively, identification of the product provides a positive factor among multiple factors considered in a transaction risk analysis. An absence of the product in the activity can be used as a neutral or negative factor among multiple factors considered in a risk analysis of the transaction.

    Obtaining information to provide to users
    4.
    发明授权
    Obtaining information to provide to users 有权
    获取信息以提供给用户

    公开(公告)号:US09471606B1

    公开(公告)日:2016-10-18

    申请号:US13842544

    申请日:2013-03-15

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for obtaining information to provide to users. One of the methods includes receiving a plurality of entities for a first user, wherein each of the plurality of entities is associated with a first score, wherein the first score associated with a particular entity represents a level of confidence that the first user is interested in the particular entity; and for one or more first entities of the plurality of entities: determining a second score based on the first score for the entity, wherein the second score indicates a level of confidence that the first user should receive notifications associated with the entity; determining that the second score satisfies a threshold; obtaining information associated with the entity; and providing the information to be presented in the form of a notification to the first user.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于获得提供给用户的信息。 方法之一包括为第一用户接收多个实体,其中多个实体中的每一个与第一分数相关联,其中与特定实体相关联的第一分数表示第一用户感兴趣的置信水平 特定实体 并且对于所述多个实体中的一个或多个第一实体:基于所述实体的所述第一分数来确定第二分数,其中所述第二分数指示所述第一用户应该接收与所述实体相关联的通知的置信度; 确定第二分数满足阈值; 获取与实体相关的信息; 以及以通知形式提供给第一用户的信息。

    FRAUD PREVENTION BASED ON USER ACTIVITY DATA
    6.
    发明申请
    FRAUD PREVENTION BASED ON USER ACTIVITY DATA 有权
    基于用户活动数据的防范措施

    公开(公告)号:US20160140561A1

    公开(公告)日:2016-05-19

    申请号:US13935400

    申请日:2013-07-03

    Applicant: GOOGLE INC.

    Inventor: Mathew Cowan

    CPC classification number: G06Q20/4016 G06Q20/12 G06Q20/20

    Abstract: A user conducts activities, such as researching a product online or visiting a store that sells the product. A user then utilizes a risk analysis system to receive and store user activity data for the user's activities. When a purchase attempt is made with the user's financial account, a merchant sends a transaction request to the risk analysis system. The risk analysis system locates a record for the user and determines whether the product is identified in the user activity data. If the product is identified, the risk analysis system provides a risk score to the merchant indicating that the transaction is unlikely fraudulent. Alternatively, identification of the product provides a positive factor among multiple factors considered in a transaction risk analysis. An absence of the product in the activity can be used as a neutral or negative factor among multiple factors considered in a risk analysis of the transaction.

    Abstract translation: 用户进行活动,例如在线研究产品或访问销售产品的商店。 然后,用户利用风险分析系统来接收和存储用户活动的用户活动数据。 当用户的财务帐户进行购买尝试时,商家向风险分析系统发送交易请求。 风险分析系统为用户定位记录,并确定产品是否在用户活动数据中被识别。 如果产品被识别,则风险分析系统向商家提供风险分数,表明交易不太可能是欺诈性的。 或者,产品的识别在交易风险分析中考虑的多个因素中提供了积极因素。 活动中的产品缺乏可以用作交易风险分析中考虑的多个因素中的中性或负面因素。

    Providing application functionality

    公开(公告)号:US10275513B1

    公开(公告)日:2019-04-30

    申请号:US13929377

    申请日:2013-06-27

    Applicant: Google Inc.

    Abstract: A system is configured to obtain data for a user. The data may describe actions that the user has performed in an application and identify points in time associated with the actions. A point in time may include a point in time at which one of the actions was performed. The system is configured to analyze the data to determine, for each action, a score for each point in time. The score, for a particular point in time, may be determined based on one or more points in time at which the action was performed, and may be determined from a number of times that the action was performed at the particular point in time. The system is configured to provide the user with a functionality to perform a particular action based on the scores determined for the particular action for the set of points in time.

    FRAUD PREVENTION BASED ON USER ACTIVITY DATA

    公开(公告)号:US20170345004A1

    公开(公告)日:2017-11-30

    申请号:US15675492

    申请日:2017-08-11

    Applicant: GOOGLE INC.

    Inventor: Mathew Cowan

    CPC classification number: G06Q20/4016 G06Q20/12 G06Q20/20

    Abstract: A user conducts activities, such as researching a product online or visiting a store that sells the product. A user then utilizes a risk analysis system to receive and store user activity data for the user's activities. When a purchase attempt is made with the user's financial account, a merchant sends a transaction request to the risk analysis system. The risk analysis system locates a record for the user and determines whether the product is identified in the user activity data. If the product is identified, the risk analysis system provides a risk score to the merchant indicating that the transaction is unlikely fraudulent. Alternatively, identification of the product provides a positive factor among multiple factors considered in a transaction risk analysis. An absence of the product in the activity can be used as a neutral or negative factor among multiple factors considered in a risk analysis of the transaction.

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