公开(公告)号：US20140082755A1

公开(公告)日：2014-03-20

申请号：US14021977

申请日：2013-09-09

Applicant: salesforce.com, inc.

Inventor： Dai Duong Doan

IPC: G06F21/60

CPC classification number: G06F17/30864 ,  G06F17/30516 ,  G06F21/10 ,  G06F21/60 ,  G06F21/64 ,  G11B20/0021 ,  H04L9/08 ,  H04L9/3247 ,  H04L43/08 ,  H04L67/02 ,  H04L67/2842 ,  H04L69/28

Abstract: A computer-implemented method is presented herein. The method obtains a first content item from an online source, and then generates a characterizing signature of the first content item. The method continues by finding a previously-saved instance of the characterizing signature and retrieving data associated with a second content item (the second content item is characterized by the characterizing signature). The method continues by analyzing the data associated with the second content item, corresponding data associated with the first content item, and decision criteria. Thereafter, either the first content item or the second content item is identified as an original content item, based on the analyzing. The other content item can be flagged as an aggregated content item.

Abstract translation: 本文介绍了计算机实现的方法。 该方法从在线源获得第一内容项，然后生成第一内容项的特征签名。 该方法通过找到先前保存的特征签名的实例并检索与第二内容项相关联的数据（第二内容项由特征化签名来表征）继续。 该方法通过分析与第二内容项目相关联的数据，与第一内容项目相关联的对应数据以及决策标准来继续。 此后，基于分析，将第一内容项或第二内容项识别为原始内容项。 其他内容项目可以标记为聚合内容项目。

公开(公告)号：US20140082183A1

公开(公告)日：2014-03-20

申请号：US14021962

申请日：2013-09-09

Applicant: salesforce.com, inc.

Inventor： Dai Duong Doan

IPC: H04L12/26

CPC classification number: G06F16/951 ,  G06F16/24568 ,  G06F21/10 ,  G06F21/60 ,  G06F21/64 ,  G11B20/0021 ,  H04L9/08 ,  H04L9/3247 ,  H04L43/08 ,  H04L67/02 ,  H04L67/2842 ,  H04L69/28

Abstract: A computer-implemented method is disclosed herein. The method obtains a first content item from an online source, and selects only a portion of the words in the first content item, in accordance with a defined selection algorithm. The method continues by generating a characterizing signature of the first content item, wherein the characterizing signature is derived from the selected words. The method continues by finding a previously-saved instance of the characterizing signature, retrieving data associated with a second content item (which is linked to the saved characterizing signature), and comparing the data associated with the second content item against corresponding data associated with the first content item. The first content item or the second content item is identified as an original content item, based on the comparing. The other content item is flagged as an aggregated content item.

Abstract translation: 本文公开了一种计算机实现的方法。 该方法根据定义的选择算法从在线源获得第一内容项，并且仅选择第一内容项中的一部分单词。 该方法继续通过生成第一内容项的特征签名，其中从所选择的单词导出特征签名。 该方法通过找到先前保存的特征签名的实例，检索与第二内容项目相关联的数据（其链接到保存的特征签名），以及将与第二内容项目相关联的数据与相关联的数据相关联的数据进行比较 第一个内容项。 基于比较将第一内容项目或第二内容项目标识为原始内容项目。 其他内容项被标记为聚合内容项。