公开(公告)号：US20150073895A1

公开(公告)日：2015-03-12

申请号：US14020614

申请日：2013-09-06

Applicant: YAHOO! INC.

Inventor： Zohar Karnin ,  Edo Liberty ,  David Wajc ,  Guy Halawi

IPC: H04L12/58 ,  G06Q30/02

CPC classification number: G06Q30/0251 ,  H04L51/063 ,  H04L51/22 ,  H04L51/36

Abstract: Disclosed is a system and method for email management that leverages information derived from automatically generated templates in order to identify types of message and message content. The systems and methods discussed herein involve identifying messages matching specific template types and structures, and automatically extracting important data from email messages matching those templates. The extracted data enables improvements for a user's experience and increased monetization. That is, templates can be analyzed to determine a type of email message, which in turn can be presented to a receiving user within an automatic folder or tag designation. Additionally, email snippets or previews can be generated from the extracted data for display within a user's inbox. Also, the extracted data can be used for monetization purposes, by serving targeted advertisements based upon the data extracted from such messages.

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模板导出的信息，以便识别消息和消息内容的类型。 这里讨论的系统和方法涉及识别匹配特定模板类型和结构的消息，并且从与这些模板匹配的电子邮件中自动提取重要数据。 提取的数据可以改善用户的体验和增加获利。 也就是说，可以分析模板以确定电子邮件消息的类型，这又可以在自动文件夹或标签名称内呈现给接收用户。 此外，可以从提取的数据中生成电子邮件片段或预览，以便在用户的收件箱中显示。 此外，提取的数据可以用于货币化目的，通过基于从这样的消息提取的数据提供目标广告。

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.

Inventor： Liane Lewin-Eytan ,  Guy Halawi ,  Dotan Di Castro ,  Zohar Karnin ,  Yoelle Maarek ,  Michael Albers

IPC: H04L12/58

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 。

公开(公告)号：US20160188599A1

公开(公告)日：2016-06-30

申请号：US14587585

申请日：2014-12-31

Applicant: YAHOO! INC.

Inventor： Yoelle Maarek ,  Liane Lewin-Eytan ,  Ariel Raviv ,  David Carmel ,  Guy Halawi ,  Zohar Karnin ,  Peter Monaco

IPC: G06F17/30 ,  H04L12/58

CPC classification number: H04L51/22 ,  G06F17/30979

Abstract: A search query for searching electronic messages, such as email, may be used to search for different types of items, such as and without limitation electronic messages, contacts, photos, documents, such as and without limitation papers, presentations, etc., business entities, personal information extracted from messages, such as and without limitation purchase orders, shipments, reservations, travel itineraries, etc. Several sources of data, which may be indexed for searching, such as and without limitation a personal mail search index, contacts, or business entity, index, attachments index, extracted data index, etc. may be searched using the search query. A number of top search result items, which may include different types of items, may be presented apart from other search result items.

Abstract translation: 用于搜索电子消息（例如电子邮件）的搜索查询可以用于搜索不同类型的项目，例如但不限于电子消息，联系人，照片，文档，例如但不限于论文，演示文稿等等。 实体，从消息中提取的个人信息，例如但不限于采购订单，出货，预订，旅行行程等。可以索引用于搜索的几个数据来源，例如但不限于个人邮件搜索索引，联系人， 或业务实体，索引，附件索引，提取的数据索引等可以使用搜索查询进行搜索。 可以将除了其他搜索结果项目之外的多个顶部搜索结果项目可以包括不同类型的项目。

公开(公告)号：US20150195224A1

公开(公告)日：2015-07-09

申请号：US14150788

申请日：2014-01-09

Applicant: Yahoo! Inc.

Inventor： Zohar KARNIN ,  Guy Halawi ,  David Wajc ,  Edo Liberty

IPC: H04L12/58 ,  G06N99/00

CPC classification number: H04L51/046 ,  G06N20/00 ,  H04L51/02

Abstract: A computer system, computer program product, and computer-implemented method for communicating electronic messages over a communication network coupled thereto are provided. The computer system comprises a network interface for receiving messages sent over the network and addressed to a user of the computer system; and computer executable electronic message processing software. The software comprises instructions for directing the computer system to receive a message over the network, and to identify whether a sender of the received electronic message is a human or a machine. The identifying includes first and second phases of operation. The first phase includes an offline phase employing information and activities resident on the computer system. The second phase includes an online phase employing resources remotely accessible over the network. The software further includes instructions for providing the user with the results of the identification as human or machine; and for performing automatic data extraction from the message if the message was identified to be from a machine.

Abstract translation: 提供了一种计算机系统，计算机程序产品和用于通过耦合到其上的通信网络来传送电子消息的计算机实现的方法。 计算机系统包括网络接口，用于接收通过网络发送并且发送给计算机系统的用户的消息; 和计算机可执行电子消息处理软件。 软件包括用于指示计算机系统通过网络接收消息的指令，以及识别所接收的电子消息的发送者是人或机器。 识别包括第一和第二阶段的操作。 第一阶段包括使用驻留在计算机系统上的信息和活动的离线阶段。 第二阶段包括一个在网络阶段，采用通过网络远程访问的资源。 该软件还包括用于向用户提供作为人或机器的识别结果的指令; 并且如果消息被识别为来自机器，则用于从消息执行自动数据提取。