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    • 6. 发明申请
    • METHODS AND SYSTEMS FOR IDENTIFYING SIMILAR PEOPLE VIA A BUSINESS NETWORKING SERVICE
    • 通过业务网络服务识别类似人员的方法和系统
    • US20130031090A1
    • 2013-01-31
    • US13194883
    • 2011-07-29
    • Christian PosseAbhishek GuptaAnmol BhasinMonica Rogati
    • Christian PosseAbhishek GuptaAnmol BhasinMonica Rogati
    • G06F17/30
    • G06F17/3053G06F17/30554G06F17/30867H04L67/22H04L67/306
    • Techniques for identifying and presenting member profiles similar to a source member profile are described. With some embodiments, a general recommendation engine is used to extract features from member profiles, and then store the extracted features, including any computed, derived or retrieved profile features, in an enhanced member profile. In real-time, the general recommendation engine processes client requests to identify member profiles similar to a source member profile by comparing select profile features stored in the enhanced member profile with corresponding profile features of the source member profile, where the comparison results in several similarity sub-scores that are then combined in accordance with directives set forth in a configuration file. Finally, the member profiles with the highest similarity scores corresponding with the user-selected member profile are selected, and in some instances, presented to a user.
    • 描述用于识别和呈现类似于源成员简档的成员简档的技术。 利用一些实施例,使用通用推荐引擎从成员简档中提取特征,然后将所提取的特征(包括任何计算的,导出的或检索到的简档特征)存储在增强的成员简档中。 实时地,一般推荐引擎通过将存储在增强成员简档中的选择简档特征与源成员简档的相应简档特征进行比较来处理客户端请求以识别类似于源成员简档的成员简档,其中比较导致几种相似性 然后根据配置文件中列出的指令组合子分数。 最后,选择与用户选择的成员简档相对应的具有最高相似性得分的成员简档,并且在某些情况下呈现给用户。
    • 7. 发明申请
    • TEMPORAL-BASED PROFESSIONAL SIMILARITY
    • 基于时间的专业相似性
    • US20150120714A1
    • 2015-04-30
    • US14528643
    • 2014-10-30
    • Ye XuZang LiAbhishek GuptaAhmet BugdayciAnmol Bhasin
    • Ye XuZang LiAbhishek GuptaAhmet BugdayciAnmol Bhasin
    • G06F17/30G06Q50/00
    • G06F17/3053G06Q50/01
    • 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.
    • 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。
    • 8. 发明授权
    • Methods and systems for identifying similar people via a business networking service
    • 通过商业网络服务识别类似的人的方法和系统
    • US08972414B2
    • 2015-03-03
    • US13194883
    • 2011-07-29
    • Christian PosseAbhishek GuptaAnmol BhasinMonica Rogati
    • Christian PosseAbhishek GuptaAnmol BhasinMonica Rogati
    • G06F17/30
    • G06F17/3053G06F17/30554G06F17/30867H04L67/22H04L67/306
    • Techniques for identifying and presenting member profiles similar to a source member profile are described. With some embodiments, a general recommendation engine is used to extract features from member profiles, and then store the extracted features, including any computed, derived or retrieved profile features, in an enhanced member profile. In real-time, the general recommendation engine processes client requests to identify member profiles similar to a source member profile by comparing select profile features stored in the enhanced member profile with corresponding profile features of the source member profile, where the comparison results in several similarity sub-scores that are then combined in accordance with directives set forth in a configuration file. Finally, the member profiles with the highest similarity scores corresponding with the user-selected member profile are selected, and in some instances, presented to a user.
    • 描述用于识别和呈现类似于源成员简档的成员简档的技术。 利用一些实施例,使用通用推荐引擎从成员简档中提取特征,然后将所提取的特征(包括任何计算的,导出的或检索到的简档特征)存储在增强的成员简档中。 实时地,一般推荐引擎通过将存储在增强成员简档中的选择简档特征与源成员简档的相应简档特征进行比较来处理客户端请求以识别类似于源成员简档的成员简档,其中比较导致几种相似性 然后根据配置文件中列出的指令组合子分数。 最后,选择与用户选择的成员简档相对应的具有最高相似性得分的成员简档,并且在某些情况下呈现给用户。