公开(公告)号：US20170133054A1

公开(公告)日：2017-05-11

申请号：US14933397

申请日：2015-11-05

Applicant: YAHOO! INC.

Inventor： Yale Song ,  Alejandro Jaimes

IPC: G11B27/031

CPC classification number: G11B27/031 ,  G11B27/28

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, 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 provide systems and methods for automatically extracting and creating an animated Graphics Interchange Format (GIF) file from a media file. The disclosed systems and methods identify a number of GIF candidates from a video file, and based on analysis of each candidate's attributes, features and/or qualities, as well as determinations related to an optimal playback setting for the content of each GIF candidate, at least one GIF candidate is automatically provided to a user for rendering.

公开(公告)号：US20160299968A1

公开(公告)日：2016-10-13

申请号：US14682654

申请日：2015-04-09

Applicant: Yahoo! Inc.

Inventor： Yale Song ,  Jordi Vallmitjana ,  Amanda Stent ,  Alejandro Jaimes

IPC: G06F17/30

CPC classification number: G06F17/30843 ,  G06F17/30719 ,  G06F17/30722

Abstract: Disclosed herein is an automated approach for summarizing media content using descriptive information associated with the media content. For example and without limitation, the descriptive information may comprise a title associated with the media content. One or more segments of the media content may be identified to form a media content summary based on each segment's respective similarity to the descriptive information, which respective similarity may be determined using a media content and auxiliary data feature spaces. A shared dictionary of canonical patterns generated using the media content and auxiliary data feature spaces may be used in determining a media content segment's similarity to the descriptive information.

Abstract translation: 本文公开了一种使用与媒体内容相关联的描述性信息来概括媒体内容的自动化方法。 例如但不限于，描述性信息可以包括与媒体内容相关联的标题。 可以基于每个段与描述信息的各自相似度来识别媒体内容的一个或多个段以形成媒体内容摘要，其可以使用媒体内容和辅助数据特征空间来确定各自的相似度。 可以使用使用媒体内容和辅助数据特征空间生成的规范模式的共享字典来确定媒体内容段与描述性信息的相似性。

公开(公告)号：US20140189525A1

公开(公告)日：2014-07-03

申请号：US13730305

申请日：2012-12-28

Applicant: YAHOO! INC.

Inventor： Michele Trevisiol ,  Luca Aiello ,  Luca Chiarandini ,  Alejandro Jaimes

IPC: G06F3/0481

CPC classification number: G06F17/30899 ,  G06F3/0481 ,  G06F17/30 ,  G06F17/30705 ,  G06F17/30876 ,  H04L67/306

Abstract: A method for tailoring content in a web page is provided. There is a relationship between the source domain a user comes from and the behavior pattern of a user on a website. To predict the behavior patterns of a particular user coming from a particular source domain, first a large dataset is compiled from user logs. Second, session analysis is performed on the dataset to identify sessions, session characteristics, page view categories, and source categories. Third, sessions are clustered and analyzed to determine how the behavior changes according to a source category. Fourth, a mapping between source categories and behavior patterns is generated. When a user requests a page view from a source domain, if the source domain is mapped to a source category, then a tailored version of the page view is presented to the user based on the mapping between source categories and behavior patterns.

Abstract translation: 提供了一种用于定制网页中的内容的方法。 用户来源的域和用户在网站上的行为模式之间存在关系。 要预测来自特定源域的特定用户的行为模式，首先从用户日志编译大型数据集。 第二，对数据集执行会话分析，以识别会话，会话特征，页面浏览类别和源类别。 第三，聚会和分析会话以确定行为如何根据源类别而改变。 第四，生成源类别和行为模式之间的映射。 当用户从源域请求页面视图时，如果源域被映射到源类别，则基于源类别和行为模式之间的映射，向用户呈现定制版本的页面视图。

公开(公告)号：US09405746B2

公开(公告)日：2016-08-02

申请号：US13730305

申请日：2012-12-28

Applicant: Yahoo! Inc.

Inventor： Michele Trevisiol ,  Luca Aiello ,  Luca Chiarandini ,  Alejandro Jaimes

IPC: G06F17/30 ,  H04L29/08

CPC classification number: G06F17/30899 ,  G06F3/0481 ,  G06F17/30 ,  G06F17/30705 ,  G06F17/30876 ,  H04L67/306

Abstract: A method for tailoring content in a web page is provided. There is a relationship between the source domain a user comes from and the behavior pattern of a user on a website. To predict the behavior patterns of a particular user coming from a particular source domain, first a large dataset is compiled from user logs. Second, session analysis is performed on the dataset to identify sessions, session characteristics, page view categories, and source categories. Third, sessions are clustered and analyzed to determine how the behavior changes according to a source category. Fourth, a mapping between source categories and behavior patterns is generated. When a user requests a page view from a source domain, if the source domain is mapped to a source category, then a tailored version of the page view is presented to the user based on the mapping between source categories and behavior patterns.

Abstract translation: 提供了一种用于定制网页中的内容的方法。 用户来源的域和用户在网站上的行为模式之间存在关系。 要预测来自特定源域的特定用户的行为模式，首先从用户日志编译大型数据集。 第二，对数据集执行会话分析，以识别会话，会话特征，页面浏览类别和源类别。 第三，聚会和分析会话以确定行为如何根据源类别而改变。 第四，生成源类别和行为模式之间的映射。 当用户从源域请求页面视图时，如果源域被映射到源类别，则基于源类别和行为模式之间的映射，向用户呈现定制版本的页面视图。