Method and Apparatus for Predicting Unwanted Electronic Messages for A User
    1.
    发明申请
    Method and Apparatus for Predicting Unwanted Electronic Messages for A User 审中-公开
    用于预测用户不必要的电子消息的方法和装置

    公开(公告)号:US20170005962A1

    公开(公告)日:2017-01-05

    申请号:US14755518

    申请日:2015-06-30

    Applicant: YAHOO! INC.

    CPC classification number: H04L51/12

    Abstract: As is disclosed herein, user behavior in connection with a number of electronic messages, such as electronic mail (email) messages, can be used to automatically learn from, and predict, whether a message is wanted or unwanted by the user, where an unwanted message is referred to herein as gray spam. A gray spam predictor is personalized for a given user in vertical learning that uses the user's electronic message behavior and horizontal learning that uses other users' message behavior. The gray spam predictor can be used to predict whether a new message for the user is, or is not, gray spam. A confidence in a prediction may be used in determining the disposition of the message, such as and without limitation placing the message in a spam folder, a gray spam folder and/or requesting input from the user regarding the disposition of the message, for example.

    Abstract translation: 如本文所公开的,与诸如电子邮件(电子邮件)消息的多个电子消息相关联的用户行为可以用于自动学习和预测消息是否被用户想要或不想要的,其中不期望的 消息在本文中称为灰色垃圾邮件。 对于垂直学习中的给定用户,使用用户的电子消息行为和使用其他用户的消息行为的横向学习,灰色垃圾邮件预测器是个性化的。 灰色垃圾邮件预测器可用于预测用户的新消息是否为灰色垃圾邮件。 预测的置信度可以用于确定消息的布置,例如但不限于将消息放置在垃圾邮件文件夹,灰色垃圾邮件文件夹中和/或从用户请求关于消息的处理的请求输入,例如 。

    COMPUTERIZED SYSTEM AND METHOD FOR AUTOMATICALLY GENERATING AND PROVIDING INTERACTIVE QUERY SUGGESTIONS WITHIN AN ELECTRONIC MAIL SYSTEM

    公开(公告)号:US20180196822A1

    公开(公告)日:2018-07-12

    申请号:US15402391

    申请日:2017-01-10

    Applicant: Yahoo! Inc.

    CPC classification number: G06F16/90324 G06F16/3322 G06Q10/107

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically generate and provide an interactive rich set of personalized query suggestions within a unified framework. The disclosed systems and methods are able to integrate attributes associated with message data and metadata by transforming such attributes into facets that are combined with term suggestions and presented to the user in a unified manner. The instant disclosure provides an interactive search suggestion mechanism that narrows the search as the user interacts with the dynamically generated and provided suggestions.

    ENFORCING ANONYMITY IN THE AUDITING OF ELECTRONIC DOCUMENTS

    公开(公告)号:US20170169251A1

    公开(公告)日:2017-06-15

    申请号:US14969201

    申请日:2015-12-15

    Applicant: Yahoo! Inc.

    Abstract: Methods, systems, and computer-readable media for anonymizing electronic documents. In accordance with one or more embodiments, structurally-similar electronic documents can be identified among a group of electronic documents (e.g., e-mail messages, documents containing HTML formatting, etc.). A hash function can be specifically tailored to identify the similarly structured documents. The structurally-similar electronic documents can be grouped into a same equivalence class. Masked anonymized document samples can be generated from the structurally-similar electronic documents utilizing the same equivalence class, thereby ensuring that the anonymized document samples when viewed as a part of an audit remain anonymous. An online process is provided to guarantee k-anonymity of the users over the entire lifetime of the auditing process. An auditor's productivity can be measured based on the amount of content revealed to the auditor within the samples he is assigned. The auditor's productivity is maximized while ensuring anonymization over the lifetime of the audit.

    EMOTIONALLY RELEVANT CONTENT
    5.
    发明申请
    EMOTIONALLY RELEVANT CONTENT 有权
    特别相关的内容

    公开(公告)号:US20160063004A1

    公开(公告)日:2016-03-03

    申请号:US14472430

    申请日:2014-08-29

    Applicant: Yahoo!, Inc.

    Abstract: Users may engage with content that may invoke various emotions. For example, a user may find an image as inspirational, a social network post as funny, etc. Accordingly, content may be labeled with user emotion labels, specified by users that engaged with the content, to create labeled content (e.g., the image may be labeled as inspirational). Emotional transition triggers may be defined for users (e.g., 30 minutes of a user writing a school report using a word processing application). Responsive to a triggering of an emotional transition trigger, labeled content may be provided to a user (e.g., the image may be provided to the user as an inspirational break from writing the school report). In this way, content may be labeled based upon emotions that the content invokes in users, and such labeled content may be provided to users in a contextually relevant manner (e.g., a study break).

    Abstract translation: 用户可以参与可能引起各种情绪的内容。 例如,用户可以将图像发现为鼓舞人心的,社交网络帖子等等。因此,内容可以用用户内容的用户指定的用户情绪标签来标记,以创建标记的内容(例如,图像 可能被标注为鼓舞人心)。 可以为用户定义情绪转换触发器(例如,用户使用文字处理应用程序编写学校报告的30分钟)。 响应于触发情绪转换触发器,可以向用户提供标记的内容(例如,图像可以作为激励性的休息从写入学校报告提供给用户)。 以这种方式,可以基于内容在用户中调用的情绪来标记内容,并且可以以内容相关的方式(例如,研究休息)向用户提供这样的标记的内容。

    COMPUTERIZED SYSTEM AND METHOD FOR MODIFYING A MESSAGE TO APPLY SECURITY FEATURES TO THE MESSAGE'S CONTENT

    公开(公告)号:US20170195274A1

    公开(公告)日:2017-07-06

    申请号:US14985844

    申请日:2015-12-31

    Applicant: YAHOO! INC.

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, generating and/or hosting systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the security and quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide added security features and functionality to messaging platforms. Message content within communicated or to be communicated messages can be subject to such security functionality through the identification of selected message portions having an identifier applied therewith that not only hides the selected message portions from being viewed within a message interface, but also modifies the message thereby rendering the selected message portion as unreadable and/or inaccessible by a user or computing device without the required security credentials.

    SYSTEM AND METHOD FOR ENTITY DETECTION IN MACHINE GENERATED MESSAGES
    10.
    发明申请
    SYSTEM AND METHOD FOR ENTITY DETECTION IN MACHINE GENERATED MESSAGES 审中-公开
    机器生成信息中的实体检测系统与方法

    公开(公告)号:US20160119268A1

    公开(公告)日:2016-04-28

    申请号:US14524460

    申请日:2014-10-27

    Applicant: YAHOO! INC.

    CPC classification number: H04L51/22 H04L51/12 H04L51/24

    Abstract: Disclosed is a system and method for email management that leverages information derived from automatically generated messages in order to identify types of messages and message content. The disclosed systems and methods apply the information learned from decoding previously received messages to other messages in a user's inbox to fully, or at least partially decode the information included within such messages. The disclosed systems and methods analyze messages received in a user's inbox to detect message specific information corresponding to types of content in the message and the location of such content in the messages. The message specific information is then applied to other newly received or identified messages to learn message specific information about those messages. Based on such learning, information can be extracted from such messages in order to increase a user's experience and increase monetization.

    Abstract translation: 公开了一种用于电子邮件管理的系统和方法,其利用从自动生成的消息导出的信息,以便识别消息和消息内容的类型。 所公开的系统和方法将从先前接收的消息解码学习的信息应用于用户收件箱中的其他消息,以完全或至少部分地解码包括在这些消息内的信息。 所公开的系统和方法分析在用户收件箱中接收的消息,以检测对应于消息中的内容的类型的消息特定信息以及消息中的这些内容的位置。 然后将消息特定信息应用于其他新接收或识别的消息,以学习关于这些消息的消息特定信息。 基于这样的学习,可以从这样的消息中提取信息,以便增加用户的体验和增加获利。

Patent Agency Ranking