专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20150317610A1 METHODS AND SYSTEM FOR AUTOMATICALLY OBTAINING INFORMATION FROM A RESUME TO UPDATE AN ONLINE PROFILE 审中-公开
标题翻译：自动获取信息的方法和系统，用于更新在线配置文件
公开(公告)号：US20150317610A1
公开(公告)日：2015-11-05
申请号：US14723404
申请日：2015-05-27
申请人： Zlemma, Inc.
发明人： Ashwin Rao , Gaurav Bubna , Zubin Mehta
IPC分类号： G06Q10/10 , G06F17/21
CPC分类号： G06F17/21 , G06F17/2229 , G06F17/2705 , G06F17/2745 , G06F17/2785 , G06Q10/063112 , G06Q10/105 , G06Q10/1053 , G06Q50/01
摘要： Techniques involving accessing a resume of a person; automatically parsing the resume at least in part by: identifying, based at least in part on formatting of the resume, a plurality of sections in the resume including a first section; identifying, based at least in part on content in the first section and formatting of the content, a plurality of subsections of the first section; and processing text in the plurality of subsections to identify a plurality of credentials and associated attributes; and updating a profile for the person to reflect the plurality of credentials and the associated attributes.
摘要翻译：涉及访问个人简历的技术; 至少部分地通过以下方式来自动解析简历：至少部分地基于简历的格式识别包括第一部分的简历中的多个部分; 至少部分地基于第一部分的内容和内容的格式化来识别第一部分的多个子部分; 以及处理所述多个子部分中的文本以识别多个凭证和相关联的属性; 以及更新所述人员的简档以反映所述多个凭证和所述相关联的属性。

2. 发明申请

US20140122360A1 SCORING MODEL METHODS AND APPARATUS 审中-公开
标题翻译：评分模型方法和装置
公开(公告)号：US20140122360A1
公开(公告)日：2014-05-01
申请号：US13672374
申请日：2012-11-08
申请人： ZLEMMA, INC.
发明人： Ashwin Rao
IPC分类号： G06Q10/10
CPC分类号： G06Q10/105
摘要： Techniques for computing a talent score of a candidate for a job. The techniques include: obtaining a first value for a first credential of a candidate for a job, wherein the first credential is indicative of the candidate's knowledge/skill in a first credential area, obtaining credential value preferences associated with the job, wherein the credential value preferences indicate at least one preferred value for at least one credential in a second credential area different from the first credential area, and calculating a talent score of the candidate at least in part by calculating a score for the first credential based at least in part on the first value, the credential value preferences, and a hierarchy of credential areas comprising the first credential area and the second credential area.
摘要翻译：计算候选人工作人才得分的技术。所述技术包括：获得用于作业的候选者的第一凭证的第一值，其中所述第一凭证指示所述候选人在第一凭证区域中的知识/技能，获得与所述作业相关联的凭证价值偏好，其中所述凭证值偏好表示在与第一凭证区域不同的第二证书区域中的至少一个证书的至少一个优选值，并且至少部分地通过基于至少部分地基于第一证书的计分来计算第一证书的得分来计算候选人的人才得分第一值，凭证值偏好以及包括第一凭证区域和第二凭证区域的凭证区域的层次结构。

3. 发明申请

US20140122356A1 SCORING MODEL METHODS AND APPARATUS 审中-公开
标题翻译：评分模型方法和装置
公开(公告)号：US20140122356A1
公开(公告)日：2014-05-01
申请号：US13672132
申请日：2012-11-08
申请人： ZLEMMA, INC.
发明人： Ashwin Rao
IPC分类号： G06Q10/10
CPC分类号： G06Q10/105
摘要： Techniques for evaluating suitability of one or more candidates for a job. The techniques include: obtaining at least one value associated with at least one credential of at least one candidate for a job, obtaining credential value preferences associated with the job, the credential value preferences specifying at least one preferred value for the at least one credential, and calculating at least one talent score of the at least one candidate based at least in part on the at least one value of the at least one credential of the at least one candidate and the credential value preferences associated with the job.
摘要翻译：评估一个或多个候选人适合工作的技巧。这些技术包括：获得与作业的至少一个候选者的至少一个凭证相关联的至少一个值，获得与作业相关联的凭证价值偏好，所述凭证价值偏好指定至少一个凭证的至少一个优选值，以及至少部分地基于所述至少一个候选者的所述至少一个凭证的所述至少一个值和与所述作业相关联的所述凭证价值偏好来计算所述至少一个候选者的至少一个天赋分数。

4. 发明申请

US20140122359A1 SCORING MODEL METHODS AND APPARATUS 审中-公开
标题翻译：评分模型方法和装置
公开(公告)号：US20140122359A1
公开(公告)日：2014-05-01
申请号：US13672331
申请日：2012-11-08
申请人： ZLEMMA, INC.
发明人： Ashwin Rao
IPC分类号： G06Q10/10
CPC分类号： G06Q10/105
摘要： Techniques for computing a talent score of a candidate for a job, the candidate having at least one of a primary set of credentials and at least one of a secondary set of credentials, the job being associated with credential value preferences for at least some of the primary and secondary set of credentials. The techniques include: calculating a primary credentials score of the candidate based at least in part on at least one first value of the at least one first credential and the credential value preferences, calculating at least one secondary score of the candidate based at least in part on at least one second value of the at least one second credential and the credential value preferences, and calculating a talent score of the candidate for the job based at least in part on the primary credentials score and the at least one secondary score.
摘要翻译：用于计算作业的候选人的人才得分的技术，所述候选人具有主要凭证集合中的至少一个以及次要凭证集合中的至少一个，所述作业与至少一些凭证的证书价值偏好相关联主要和次要证书。这些技术包括：至少部分地基于至少一个第一凭证和证书值偏好的至少一个第一值来计算候选者的主凭证评分，至少部分地计算候选者的至少一个次要成绩至少所述至少一个第二凭证和所述凭证价值偏好的至少一个第二值，以及至少部分地基于所述主凭证评分和所述至少一个次要评分来计算所述作业的所述候选人的人才分数。

5. 发明申请

US20140122358A1 SCORING MODEL METHODS AND APPARATUS 审中-公开
标题翻译：评分模型方法和装置
公开(公告)号：US20140122358A1
公开(公告)日：2014-05-01
申请号：US13672263
申请日：2012-11-08
申请人： ZLEMMA INC.
发明人： Ashwin Rao
IPC分类号： G06Q10/10
CPC分类号： G06Q10/105
摘要： Techniques for recommending at least one credential to a candidate. The techniques include: identifying a plurality of credentials a candidate for a job does not possess, the plurality of credentials including a first credential, calculating, using at least one processor, a first talent score of the candidate based at least in part on at least one credential possessed by the candidate, the first credential, and credential value preferences for the job, and identifying the first credential as a credential to recommend to the candidate to obtain, when the first talent score is greater, by a threshold amount, than a talent score of the candidate calculated using only the credentials that the candidate possesses.
摘要翻译：向候选人推荐至少一个凭证的技术。这些技术包括：识别作业的候选人不具有的多个凭证，所述多个凭证包括第一凭证，至少部分地至少基于至少一个处理器来计算候选的第一天赋分数候选人拥有的一个凭证，第一个凭证和该工作的凭证价值偏好，以及将第一个凭证确定为凭证，以推荐候选人在第一人才分数较大时获得阈值量仅使用候选人拥有的凭证计算候选人的人才分数。

6. 发明申请

US20140122357A1 SCORING MODEL METHODS AND APPARATUS 审中-公开
标题翻译：评分模型方法和装置
公开(公告)号：US20140122357A1
公开(公告)日：2014-05-01
申请号：US13672206
申请日：2012-11-08
申请人： ZLEMMA, INC.
发明人： Ashwin Rao
IPC分类号： G06Q10/10
CPC分类号： G06Q10/105
摘要： Techniques for evaluating suitability of a candidate for a plurality of jobs. The techniques include: obtaining at least one value associated with at least one credential of a candidate, obtaining credential value preferences for each one of a plurality jobs, wherein the credential value preferences for each one job in the plurality of jobs indicate at least one preferred value for the at least one credential, and calculating, using at least one processor, a talent score of the candidate for each one of a plurality of jobs based at least in part on the at least one value of the at least one credential of the candidate and the credential value preferences.
摘要翻译：评估候选人对多个工作的适用性的技术。这些技术包括：获得与候选者的至少一个凭证相关联的至少一个值，为多个作业中的每个作业获得凭证价值偏好，其中多个作业中的每个作业的凭证值偏好表示至少一个优选的至少一个凭证的价值，以及至少部分地基于所述至少一个凭证的至少一个凭证的至少一个值来计算使用至少一个处理器的多个作业中的每个作业的候选人的人才分数候选人和凭证价值偏好。

7. 发明申请

US20150317605A1 SCORING MODEL METHODS AND APPARATUS 审中-公开
标题翻译：评分模型方法和装置
公开(公告)号：US20150317605A1
公开(公告)日：2015-11-05
申请号：US14269726
申请日：2014-05-05
申请人： Zlemma, Inc.
发明人： Ashwin Rao , Gaurav Bubna
IPC分类号： G06Q10/10
摘要： Techniques comprising: obtaining information about a first job associated with a first recruiter; identifying a second job associated with a second recruiter, the identifying comprising calculating a measure of similarity between the information about the first job and information about the second job; identifying at least one candidate for the first job from among a plurality of users of an online service associated with users, each of the plurality of users being associated with the second employer via the online network; and calculating a talent score for the identified at least one candidate based, at least in part, on the information about the first job and credentials of the identified candidate, the talent score indicating suitability of the identified at least one candidate for the first job.
摘要翻译：技术包括：获得关于与第一招聘者相关联的第一工作的信息; 识别与第二招聘者相关联的第二工作，所述识别包括计算关于所述第一作业的信息与关于所述第二作业的信息之间的相似性度量; 从与用户相关联的在线服务的多个用户中识别用于所述第一作业的至少一个候选者，所述多个用户中的每一个通过所述在线网络与所述第二雇主相关联; 以及至少部分地基于关于所识别的候选人的第一工作和证书的信息来计算所识别的至少一个候选人的天赋分数，所述人才分数指示所识别的至少一个候选人对于第一作业的适合性。

8. 发明申请

US20150317603A1 SCORING MODEL METHODS AND APPARATUS 审中-公开
标题翻译：评分模型方法和装置
公开(公告)号：US20150317603A1
公开(公告)日：2015-11-05
申请号：US14269672
申请日：2014-05-05
申请人： Zlemma, Inc.
发明人： Ashwin Rao , Gaurav Bubna
IPC分类号： G06Q10/10
CPC分类号： G06Q10/1053
摘要： Techniques comprising using at least one computer hardware processor to perform: obtaining first credential information for at least one individual; generating at least one representation of job requirements for a job based, at least in part, on the first credential information; obtaining second credential information for a candidate different from the at least one individual; and calculating a talent score for the candidate at least in part by using the at least one representation of job requirements and the second credential information.
摘要翻译：技术包括使用至少一个计算机硬件处理器来执行：获得至少一个个体的第一凭证信息; 至少部分地基于所述第一凭证信息生成至少一个对作业的作业要求的表示; 获得与所述至少一个个体不同的候选者的第二凭证信息; 以及至少部分地通过使用所述工作要求和所述第二凭证信息的所述至少一个表示来计算所述候选人的天赋分数。

9. 发明申请

US20150317602A1 SCORING MODEL METHODS AND APPARATUS 审中-公开
标题翻译：评分模型方法和装置
公开(公告)号：US20150317602A1
公开(公告)日：2015-11-05
申请号：US14269663
申请日：2014-05-05
申请人： Zlemma, Inc.
发明人： Ashwin Rao , Gaurav Bubna
IPC分类号： G06Q10/10
CPC分类号： G06Q10/1053
摘要： Techniques comprising: obtaining natural language input comprising a job description for a job; generating at least one representation of job requirements for the job at least in part by automatically processing the natural language input using at least one natural language processing technique; obtaining credential information for a candidate; and calculating a talent score for the candidate based, at least in part, on the at least one representation of job requirements and the credential information.
摘要翻译：技术包括：获得包括作业的作业描述的自然语言输入; 至少部分地通过使用至少一种自然语言处理技术自动处理自然语言输入来对作业的工作要求进行至少一个表示; 获取候选人的凭证信息; 以及至少部分地基于工作要求和证书信息的至少一个表示来计算候选人的天赋分数。

10. 发明申请

US20150248645A1 SCORING MODEL METHODS AND APPARATUS 审中-公开
标题翻译：评分模型方法和装置
公开(公告)号：US20150248645A1
公开(公告)日：2015-09-03
申请号：US14195169
申请日：2014-03-03
申请人： Zlemma, Inc.
发明人： Ashwin Rao , Gaurav Bubna
IPC分类号： G06Q10/10 , G06Q10/06
CPC分类号： G06Q10/105 , G06Q10/0631
摘要： Techniques for calculating a talent score for a candidate for a job, the talent score being indicative of the candidate's suitability for the job. The techniques include calculating a first value for a first credential of a candidate for a job and a measure of uncertainty for the first value, the first credential indicative of the candidate's knowledge and/or skill in a first area, the first value indicative of an amount of knowledge and/or skill the candidate has in the first area; obtaining an employer's credential value preferences for the job; and calculating a talent score for the candidate and a corresponding measure of uncertainty based, at least in part, on the first value, the credential value preferences, and the measure of uncertainty for the first value.
摘要翻译：用于计算候选人工作人才得分的技巧，人才分数表示候选人对工作的适合性。所述技术包括计算用于作业的候选者的第一凭证的第一值和针对第一值的不确定性的度量，指示候选者在第一区域中的知识和/或技能的第一证书，指示第一值的第一值候选人在第一个地区的知识和/或技能的数量; 获得雇主对该工作的认证价值偏好; 并且至少部分地基于第一个值，证书价值偏好和第一个值的不确定性度量来计算候选人的人才得分和相应的不确定性度量。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式