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1. 发明申请

US20180173802A1 DETERMINING SIMILARITIES AMONG INDUSTRIES TO ENHANCE JOB SEARCHING 审中-公开
公开(公告)号：US20180173802A1
公开(公告)日：2018-06-21
申请号：US15379641
申请日：2016-12-15
申请人： LinkedIn Corporation
发明人： Aman Grover , Dhruv Arya , Ganesh Venkataraman , Kimberly McManus , Liang Zhang
IPC分类号： G06F17/30 , G06Q10/10 , H04L29/08 , G06N99/00
摘要： Methods, systems, and computer programs are presented for expanding a job search that includes an industry by adding other similar industries. A method identifies job titles of members in a social network and performs, utilizing a machine-learning program, semantic analysis of the job titles to identify similarity coefficients among the job titles. The machine-learning program utilizes social network data to identify the similarity coefficients. Further, the method includes an operation for receiving a job search query, from a first member, including a query job title, and for expanding the job search query with job titles that are similar to the query job title. The method further includes operations for executing the expanded job search query to generate a plurality of job results, and for causing presentation on a display of one or more of the top job results.

2. 发明申请

US20170032323A1 ESTIMATING EFFECTS OF COURSES 审中-公开
标题翻译：估计课程的影响
公开(公告)号：US20170032323A1
公开(公告)日：2017-02-02
申请号：US14814403
申请日：2015-07-30
申请人： LinkedIn Corporation
发明人： Aman Grover , Siyu You , Krishnaram Kenthapadi , Parul Jain , Fedor Vladimirovich Borisyuk , Christopher Matthew Degiere , Songtao Guo
IPC分类号： G06Q10/10
CPC分类号： G06Q10/1053 , G06Q50/2057
摘要： A member profile including a vector containing a field for each of a plurality of skills and a rating of one or more of the skills in the vector for a member of a social networking service is obtained. A first distance indicating a vector distance between the vector of the member profile and a vector of a hypothetical member profile representing the perfect job candidate is obtained. A hypothetical member profile for the member is created by combining the vector of the member profile with the indication of how each of the one or more skills is improved through taking the course from course information. A second distance between the member and the hypothetical perfect candidate for the job is obtained, and the difference between the first distance and the second distance is calculated to determine an estimate of how much the course will increase the member's job chances.
摘要翻译：获得包括对于多个技能中的每一个的包含字段的向量的成员简档，以及针对社交网络服务的成员的向量中的一种或多种技能的评级。获得指示成员简档的矢量与表示完美作业候选的假想成员轮廓的矢量之间的矢量距离的第一距离。通过将成员简档的向量与通过从课程信息中获取课程来改进每个技能的指示来创建该成员的假设成员简档。获得该成员与该工作的假设完美候选人之间的第二距离，并计算第一距离与第二距离之间的差异，以确定该课程将增加成员工作机会的程度。

3. 发明申请

US20180336501A1 MULTI-OBJECTIVE OPTIMIZATION OF JOB SEARCH RANKINGS 审中-公开
公开(公告)号：US20180336501A1
公开(公告)日：2018-11-22
申请号：US15607296
申请日：2017-05-26
申请人： LinkedIn Corporation
发明人： Benjamin Hoan Le , Dhruv Arya , Aman Grover , Shaunak Chatterjee
IPC分类号： G06Q10/06 , G06Q10/10 , G06F17/30 , G06Q50/00
摘要： A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein are directed to a Jobs Optimization Engine. The Jobs Optimization Engine accesses at least one respective apply probability that corresponds to a given job post from a plurality of job posts, each respective apply probability represents a likelihood that the target member account will apply to the given job post. The Jobs Optimization Engine determines, according to an input context and the at least one respective apply probability, a respective boost factor for each given job post based on including the given job post in a select listing of job posts that satisfies (i) a job post diversity requirement and (ii) a potential revenue target that can be generated by the select listing of job posts. Based on satisfaction of the job post diversity requirement and the potential revenue target, the Jobs Optimization Engine causes display of the select listing of job posts to the target member account in the social network service, wherein a first job post is ranked in the select listing according to a corresponding boost factor.

4. 发明申请

US20180336241A1 SEARCH QUERY AND JOB TITLE PROXIMITY COMPUTATION VIA WORD EMBEDDING 审中-公开
公开(公告)号：US20180336241A1
公开(公告)日：2018-11-22
申请号：US15600444
申请日：2017-05-19
申请人： LinkedIn Corporation
发明人： Yongwoo Noh , Dhruv Arya , Ganesh Venkataraman , Aman Grover
IPC分类号： G06F17/30 , G06N99/00 , G06Q50/00 , G06Q10/10
CPC分类号： G06F17/30389 , G06F17/30864 , G06F17/3089 , G06N99/005 , G06Q10/1053 , G06Q50/01
摘要： Various embodiments described herein provide for systems and methods for using a machine-learning model to rank job search results based on the similarity of the job title of each job search result and a job search query that produces the job search results. According to some embodiments, the machine-learning model comprises a word-embedding machine-learning model that maps a word to a vector.

5. 发明授权

US11210719B2 Inferring service opportunities 有权
公开(公告)号：US11210719B2
公开(公告)日：2021-12-28
申请号：US15048813
申请日：2016-02-19
申请人： LinkedIn Corporation
发明人： Siyu You , Aman Grover , Manoj Rameshchandra Thakur
IPC分类号： G06Q30/06 , G06Q30/02 , G06Q50/00 , G06F16/9535 , H04L29/08
摘要： A system and method for inferring service opportunities are provided. In example embodiments, a member event associated with a particular member of a social networking service is detected. In response to detecting the member event, a service request for a particular service is inferred based on the member event. A provider member capable of fulfilling the inferred service request is identified among members of the social networking service. A match score for each of the identified provider members is calculated. The identified provider members are ranked according to the calculated match score. At least a portion of the ranked identified provider members are presented on a user interface.

6. 发明申请

US20180232375A1 CANDIDATE SEARCH RESULT GENERATION 审中-公开
公开(公告)号：US20180232375A1
公开(公告)日：2018-08-16
申请号：US15430839
申请日：2017-02-13
申请人： Linkedin Corporation
发明人： Ganesh Venkataraman , Dhruv Arya , Aman Grover , Liang Zhang
IPC分类号： G06F17/30 , G06N99/00
CPC分类号： G06F16/24578 , G06F16/248 , G06F16/93 , G06F16/951 , G06N5/003 , G06N20/00
摘要： A trained search system can be configured to retrieve a candidate subset of results, where the trained search system uses data extracted from a machine learning scheme. The machine learning scheme can be trained to identify results that are ranked by a computationally expensive algorithm, such as a ranking algorithm. When a query is received, the trained search system can he used to retrieve results instead of applying the computationally expensive ranking algorithm.

7. 发明申请

US20190057404A1 JOBS FORECASTING 审中-公开
公开(公告)号：US20190057404A1
公开(公告)日：2019-02-21
申请号：US15677773
申请日：2017-08-15
申请人： LinkedIn Corporation
发明人： Zhifeng Deng , Hong Li , Ryan Bixby Smith , Kun Liu , Aman Grover
IPC分类号： G06Q30/02 , G06Q10/10
摘要： Disclosed in some examples are systems, methods, and machine readable mediums which provide for a forecasting service that, given a query that specifies job posting features produces one or more forecasted metrics for that job posting information over a particular period of time for a pay-per-click job posting model. By providing forecasting metrics, it allows job posters an ability to plan with a degree of certainty how much a particular job post is going to cost given a bid. Moreover, the metrics may visually show an expected value to the job poster for posting the job on the job posting service.

8. 发明申请

US20170243277A1 INFERRING SERVICE OPPORTUNITIES 审中-公开
公开(公告)号：US20170243277A1
公开(公告)日：2017-08-24
申请号：US15048813
申请日：2016-02-19
申请人： LinkedIn Corporation
发明人： Siyu You , Aman Grover , Manoj Rameshchandra Thakur
IPC分类号： G06Q30/06 , G06Q50/00 , G06Q30/02 , H04L29/08 , G06F17/30
CPC分类号： G06Q30/0631 , G06F16/9535 , G06Q30/0273 , G06Q30/0283 , G06Q50/01 , H04L67/306
摘要： A system and method for inferring service opportunities are provided. In example embodiments, a member event associated with a particular member of a social networking service is detected. In response to detecting the member event, a service request for a particular service is inferred based on the member event. A provider member capable of fulfilling the inferred service request is identified among members of the social networking service. A match score for each of the identified provider members is calculated. The identified provider members are ranked according to the calculated match score. At least a portion of the ranked identified provider members are presented on a user interface.

9. 发明申请

US20170243271A1 INFERRING SERVICE PROVIDERS 审中-公开
公开(公告)号：US20170243271A1
公开(公告)日：2017-08-24
申请号：US15048845
申请日：2016-02-19
申请人： LinkedIn Corporation
发明人： Siyu You , Aman Grover , Manoj Rameshchandra Thakur
IPC分类号： G06Q30/06 , H04L29/08 , G06Q50/00 , H04L12/58
摘要： A system and method for inferring service providers are provided. In example embodiments, member data of members of a social networking service is accessed. From the member data, it is inferred that a particular member among the members of the social networking service is a freelancer member. A service request that the freelancer member is capable of fulfilling is identified based on a service request skill associated with the service request and a freelancer skill of the freelancer member. An option for the freelancer member to fulfill the service request is presented on a user interface of a user device of the freelancer member.

10. 发明申请

US20170032322A1 MEMBER TO JOB POSTING SCORE CALCULATION 审中-公开
标题翻译：会员到工作岗位考核计算
公开(公告)号：US20170032322A1
公开(公告)日：2017-02-02
申请号：US14814397
申请日：2015-07-30
申请人： Linkedin Corporation
发明人： Aman Grover , Siyu You , Krishnaram Kenthapadi , Parul Jain , Fedor Vladimirovich Borisyuk , Christopher Matthew Degiere , Songtao Guo
IPC分类号： G06Q10/10 , G06F17/30 , G06Q50/00
CPC分类号： G06Q10/1053 , G06Q50/01
摘要： In an example embodiment, a method is provided to calculate a distance for a first member of a social networking service and a job opening, which indicates the likelihood that the first member will obtain the job. The distance is calculated by applying one or more policies to member profiles of members who applied for similar jobs to obtain a hypothetical perfect candidate for the job. The member's profile is then automatically compared to the hypothetical perfect candidate profile to calculate the distance.
摘要翻译：在示例性实施例中，提供了一种用于计算社交网络服务的第一成员和作业打开的距离的方法，其指示第一成员获得作业的可能性。距离是通过对申请类似工作的成员的成员简介应用一个或多个政策来获得该工作的假设完美候选人来计算的。然后，会员的个人资料将自动与假设的完美候选人资料进行比较，以计算距离。

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