公开(公告)号：US20140172858A1

公开(公告)日：2014-06-19

申请号：US14100990

申请日：2013-12-09

Applicant: eBay Inc.

Inventor： Badrul M. Sarwar ,  John A. Mount

IPC: G06F17/27 ,  G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/277 ,  G06F17/2775 ,  G06F17/30312 ,  G06F17/30598

Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

Abstract translation: 描述了一种基于标题令牌自动分割文本的方法和系统。 在描述中为每个令牌确定相关性值和不相关性值，假设没有令牌被遗漏在计算之外。 不相关值基于描述样本集中令牌的出现。 相关性值是基于正被分割的描述的标题的估计的相关概率。

公开(公告)号：US20150261761A1

公开(公告)日：2015-09-17

申请号：US14724269

申请日：2015-05-28

Applicant: eBay Inc.

Inventor： Badrul M. Sarwar ,  John A. Mount

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/277 ,  G06F17/2775 ,  G06F17/30312 ,  G06F17/30598

Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

Abstract translation: 描述了一种基于标题令牌自动分割文本的方法和系统。 在描述中为每个令牌确定相关性值和不相关性值，假设没有令牌被遗漏在计算之外。 不相关值基于描述样本集中令牌的出现。 相关性值是基于正被分割的描述的标题的估计的相关概率。

公开(公告)号：US09053091B2

公开(公告)日：2015-06-09

申请号：US14100990

申请日：2013-12-09

Applicant: eBay Inc.

Inventor： Badrul M. Sarwar ,  John A. Mount

IPC: G06F17/30 ,  G06F17/27

CPC classification number: G06F17/3053 ,  G06F17/277 ,  G06F17/2775 ,  G06F17/30312 ,  G06F17/30598

Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

Abstract translation: 描述了一种基于标题令牌自动分割文本的方法和系统。 在描述中为每个令牌确定相关性值和不相关性值，假设没有令牌被遗漏在计算之外。 不相关值基于描述样本集中令牌的出现。 相关性值是基于正被分割的描述的标题的估计的相关概率。