公开(公告)号：US20150120714A1

公开(公告)日：2015-04-30

申请号：US14528643

申请日：2014-10-30

申请人： Ye Xu ,  Zang Li ,  Abhishek Gupta ,  Ahmet Bugdayci ,  Anmol Bhasin

发明人： Ye Xu ,  Zang Li ,  Abhishek Gupta ,  Ahmet Bugdayci ,  Anmol Bhasin

IPC分类号： G06F17/30 ,  G06Q50/00

CPC分类号： G06F17/3053 ,  G06Q50/01

摘要： A system and method for temporal-based professional similarity are provided. In example embodiments, a request to identify, from among a plurality of member profiles of a social network service, a profile that is similar to a source profile, is received. Profile data of the source profile and a candidate profile are accessed from the social network service. Profile features are extracted from the profile data. The profile features include source features extracted from the profile data of the source profile and candidate features extracted from the profile data of the candidate profile. Respective profile features correspond to temporal data included in the profile data. Data structures are generated by structuring the profile features according to the temporal data. The data structures include a source data structure generated using the source features and a candidate data structure generated using the candidate features. A profile similarity score is determined by comparing the candidate data structure with the source data structure. The profile similarity score indicates the similarity between the candidate profile and the source profile.

摘要翻译： 提供了一种基于时间的专业相似度的系统和方法。 在示例实施例中，接收到从社交网络服务的多个成员简档中识别类似于源简档的简档的请求。 从社交网络服务访问源简档和候选简档的简档数据。 简档特征从简档数据中提取。 简档特征包括从源简档的简档数据中提取的源特征以及从候选简档的简档数据中提取的候选特征。 相应的简档特征对应于包括在简档数据中的时间数据。 通过根据时间数据构造轮廓特征来生成数据结构。 数据结构包括使用源特征生成的源数据结构和使用候选特征产生的候选数据结构。 通过将候选数据结构与源数据结构进行比较来确定轮廓相似性得分。 轮廓相似度得分表示候选轮廓和源轮廓之间的相似性。