公开(公告)号：US10380121B2

公开(公告)日：2019-08-13

申请号：US14520872

申请日：2014-10-22

Applicant: Apple Inc.

Inventor： Rishab Aiyer Ghosh ,  Thomas James Emerson ,  Lun Ted Cui

IPC: G06F16/2457 ,  G06F16/338 ,  G06F16/9535

Abstract: A new approach is proposed that contemplates systems and methods to determine temporality of a query in order to generate a search result including a list of objects that are not only based on matching of the objects to the query but also based on temporality analysis of the query. Here, the temporality of the query can be defined as the distribution over time of the objects matching the query, i.e., the chronology histogram of the query. Such distribution can be analyzed to provide a classification of the intent of the query. Classification of the intent of the query can result either in discrete classification of the query into categories, or in continuous classification of the query which may be a scalar or vector value resulting from transformations of the chronology histogram.

公开(公告)号：US10025860B2

公开(公告)日：2018-07-17

申请号：US14798240

申请日：2015-07-13

Applicant: Apple Inc.

Inventor： Rishab Aiyer Ghosh ,  Thomas James Emerson ,  Lun Ted Cui

IPC: G06F17/30

Abstract: A new approach is proposed that contemplates systems and methods to provide a ranking of cited objects and citing subjects identified as results of a search, where the relative expertise of subjects or sources of citations to said targets or objects is considered. The relative expertise is a function of the share of the subject's citations matching the query term or search criteria relative to the share of all subjects' citations matching the query term, weighted by the influence of the subjects. This allows the identification of “experts” on “topics” without any pre-defined categorization of topics or pre-computation of expertise. Under this novel approach, expertise can be determined on any query term in real-time.

公开(公告)号：US20160042071A1

公开(公告)日：2016-02-11

申请号：US14798240

申请日：2015-07-13

Applicant: Apple Inc.

Inventor： Rishab Aiyer Ghosh ,  Thomas James Emerson ,  Lun Ted Cui

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/3053 ,  G06F17/30675 ,  G06F17/30728

Abstract: A new approach is proposed that contemplates systems and methods to provide a ranking of citied objects and citing subjects identified as results of a search, where the relative expertise of subjects or sources of citations to said targets or objects is considered. The relative expertise is a function of the share of the subject's citations matching the query term or search criteria relative to the share of all subjects' citations matching the query term, weighted by the influence of the subjects. This allows the identification of “experts” on “topics” without any pre-defined categorization of topics or pre-computation of expertise. Under this novel approach, expertise can be determined on any query term in real-time.

Abstract translation: 提出了一种新的方法，其中考虑系统和方法来提供被引用对象的排名，以及被标识为搜索结果的被引用的对象，其中考虑到所述目标或对象的主题或引用源的相对专长。 相关专业知识是与主题引用匹配的查询词或搜索标准相对于匹配查询词的所有主题引文的份额的函数的函数，由受试者的影响加权。 这允许在“主题”上识别“专家”，而无需对主题进行任何预先定义的分类或预先计算专业知识。 根据这种新颖的方法，专业知识可以在任何查询术语上实时确定。