公开(公告)号：US20170329779A1

公开(公告)日：2017-11-16

申请号：US15150918

申请日：2016-05-10

Applicant: YAHOO! INC.

Inventor： Liane Lewin-Eytan ,  David Carmel ,  Yoelle Maarek ,  Ariel Raviv ,  Alexander Libov ,  Peter Monaco

IPC: G06F17/30 ,  H04L12/58

CPC classification number: H04L51/16 ,  G06F16/335 ,  G06Q10/10 ,  G06Q10/107 ,  H04L51/22

Abstract: Relevant messages, or “hero results”, which are not ranked at the uppermost part of a time-based listing of search results are identified and such hero results can be displayed apart from the time-based listing of search results. A user can be provided with messages in a time-based presentation as well as messages in a relevance-based presentation. The user can be presented with the most relevant messages from a set of message generated from a search query, even where the most relevant messages are not the most recent ones.

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.

Inventor： Liane Lewin-Eytan ,  David Carmel ,  Ariel Raviv ,  Alexander Libov ,  Yoelle Maarek ,  Peter Monaco

IPC: G06F17/30

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.

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.

Inventor： Liane Lewin-Eytan ,  Dotan Di Castro ,  Eyal Zohar ,  Yoelle Maarek ,  Ran Wolff ,  Doug Sharp

IPC: G06F21/62 ,  H04L12/58 ,  G06F17/22

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.

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。