Methods and apparatuses for clustering electronic documents based on structural features and static content features

Invention Grant

US08832102B2 Methods and apparatuses for clustering electronic documents based on structural features and static content features 有权

Title translation: 基于结构特征和静态内容特征聚类电子文档的方法和装置

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Patent Title: Methods and apparatuses for clustering electronic documents based on structural features and static content features
Patent Title (中): 基于结构特征和静态内容特征聚类电子文档的方法和装置
Application No.: US12685945

Application Date: 2010-01-12
Publication No.: US08832102B2

Publication Date: 2014-09-09
Inventor: Rupesh R. Mehta , Srinivasan H. Sengamedu , Rajeev R. Rastogi
Applicant: Rupesh R. Mehta , Srinivasan H. Sengamedu , Rajeev R. Rastogi
Applicant Address: US CA Sunnyvale
Assignee: Yahoo! Inc.
Current Assignee: Yahoo! Inc.
Current Assignee Address: US CA Sunnyvale
Agency: Berkeley Law & Technology Group, LLP
Main IPC: G06F17/30
IPC: G06F17/30 ; G06F7/00

Methods and apparatuses for clustering electronic documents based on structural features and static content features

Abstract:

Exemplary methods and apparatuses are provided which may be implemented using one or more computing devices to allow for super clustering of clusters of electronic documents based, at least in part, on structural and static content features.

Abstract(Chinese):

提供了示例性方法和装置，其可以使用一个或多个计算设备来实现，以至少部分地基于结构和静态内容特征来允许对电子文档的集群进行超群集。

Public/Granted literature

US20110173197A1 METHODS AND APPARATUSES FOR CLUSTERING ELECTRONIC DOCUMENTS BASED ON STRUCTURAL FEATURES AND STATIC CONTENT FEATURES Public/Granted day:2011-07-14

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