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11. 发明申请

US20180225776A1 USER CHARACTERISTICS-BASED SPONSORED COMPANY POSTINGS 审中-公开
公开(公告)号：US20180225776A1
公开(公告)日：2018-08-09
申请号：US15848606
申请日：2017-12-20
申请人： Christian Posse , Michael Grishaver
发明人： Christian Posse , Michael Grishaver
IPC分类号： G06Q50/00 , G06Q30/02
CPC分类号： G06Q50/01 , G06Q30/0234 , G06Q30/0269 , G06Q30/0275
摘要： A system may include a network interface, a user interface, and a recommendation engine. The user interface may be configured to receive a company characteristic of a company profile of a company posted to the social network and a company bid from an entity related to company to the social network. The recommendation engine may be configured to determine an aggregate company score for the user based on a relevance of the company characteristic to a user characteristic and the company bid. The network interface may be configured to transmit a message related to the company to the user based, at least in part, on the aggregate company score.

12. 发明授权

US08972414B2 Methods and systems for identifying similar people via a business networking service 有权
标题翻译：通过商业网络服务识别类似的人的方法和系统
公开(公告)号：US08972414B2
公开(公告)日：2015-03-03
申请号：US13194883
申请日：2011-07-29
申请人： Christian Posse , Abhishek Gupta , Anmol Bhasin , Monica Rogati
发明人： Christian Posse , Abhishek Gupta , Anmol Bhasin , Monica Rogati
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30554 , G06F17/30867 , H04L67/22 , H04L67/306
摘要： 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.
摘要翻译：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。

13. 发明申请

US20110077936A1 SYSTEM AND METHOD FOR GENERATING VOCABULARY FROM NETWORK DATA 有权
标题翻译：用于从网络数据生成VOCABULARY的系统和方法
公开(公告)号：US20110077936A1
公开(公告)日：2011-03-31
申请号：US12571390
申请日：2009-09-30
申请人： Thangavelu Arumugam , Satish K. Gannu , Virgil N. Mihailovici , Ashutosh A. Malegaonkar , Christian Posse , Sonali M. Sambhus , Nitasha Walia , Kui Zhang
发明人： Thangavelu Arumugam , Satish K. Gannu , Virgil N. Mihailovici , Ashutosh A. Malegaonkar , Christian Posse , Sonali M. Sambhus , Nitasha Walia , Kui Zhang
IPC分类号： G06F17/27
CPC分类号： G06F17/2775 , G06F17/218 , G06F17/30867
摘要： A method is provided in one example and includes receiving data propagating in a network environment and separating the data into one or more fields. At least some of the fields are evaluated in order to identify nouns and noun phrases within the fields. The method also includes identifying selected words within the nouns and noun phrases based on a whitelist and a blacklist. The whitelist includes a plurality of designated words to be tagged and the blacklist includes a plurality of rejected words that are not to be tagged. A resultant composite is generated for the selected nouns and noun phrases that are tagged. The resultant composite is incorporated into the whitelist if the resultant composite is approved.
摘要翻译：在一个示例中提供了一种方法，并且包括接收在网络环境中传播的数据并将数据分离成一个或多个字段。评估字段中至少有一些是为了识别字段中的名词和名词短语。该方法还包括基于白名单和黑名单来识别名词和名词短语内的所选择的单词。白名单包括要标记的多个指定字，并且黑名单包括不被标记的多个拒绝字。为所标记的所选择的名词和名词短语生成合成的复合物。如果得到的复合材料被批准，则所得的复合材料被并入白名单中。

14. 发明申请

US20050055346A1 System and method for personalized information retrieval based on user expertise 失效
标题翻译：基于用户专业知识的个性化信息检索系统和方法
公开(公告)号：US20050055346A1
公开(公告)日：2005-03-10
申请号：US10971830
申请日：2004-10-21
申请人： Igor Perisic , Christian Posse
发明人： Igor Perisic , Christian Posse
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , Y10S707/99935
摘要： A search request is received at an information retrieval system from a searcher. The search request preferably contains at least one search term and a user identifier. A plurality of objects are then searched based on the at least one search term. At least one located object is found from the plurality of objects. The at least one located object is associated with the search term(s). An intrinsic score based on the search term(s) is subsequently calculated for each located object. The intrinsic score is then adjusted to an adjusted score based on the difference between a creator expertise of a creator of the at least one located object and/or a contributor expertise of a contributor to the at least one located object, and a searcher expertise of the searcher.
摘要翻译：在搜索者的信息检索系统处接收到搜索请求。搜索请求优选地包含至少一个搜索项和用户标识符。然后基于至少一个搜索项搜索多个对象。从多个对象中找到至少一个定位对象。所述至少一个定位对象与所述搜索项相关联。随后针对每个定位对象计算基于搜索项的固有分数。然后根据至少一个定位对象的创建者的创作者专长与/或至少一个所定位对象的贡献者的贡献者专长之间的差异，将内在分数调整到调整分数，以及搜索者的专业知识搜索者。

15. 发明申请

US20140143164A1 TECHNIQUES FOR QUANTIFYING THE JOB-SEEKING PROPENSITY OF MEMBERS OF A SOCIAL NETWORK SERVICE 审中-公开
标题翻译：定量社会网络服务会员工作职责的技巧
公开(公告)号：US20140143164A1
公开(公告)日：2014-05-22
申请号：US13682033
申请日：2012-11-20
申请人： Christian Posse , Mario Rodriguez , Neha Khotari
发明人： Christian Posse , Mario Rodriguez , Neha Khotari
IPC分类号： G06Q50/00
CPC分类号： G06Q50/01 , G06Q10/105
摘要： Techniques are described herein for deriving, for each member of a social network service, a metric representing the job-seeking propensity of the member. Additionally, techniques for classifying each member with a job-seeking status (e.g., active job-seeker, passive job-seeker, or non-job-seeker) are described. A score-generating algorithm will analyze a variety of input data—including member profile data, social graph data, and activity or behavior data—to derive a job-seeker score, representing the job-seeking propensity of a member.
摘要翻译：这里描述了用于为社交网络服务的每个成员导出表示成员的求职倾向的度量的技术。此外，描述了用于对寻求工作状态的每个成员进行分类的技术（例如，主动求职者，被动求职者或非求职者）。分数生成算法将分析各种输入数据（包括成员简档数据，社交图数据和活动或行为数据），从而导出求职者得分，代表成员的求职倾向。

16. 发明授权

US08468195B1 System and method for controlling an exchange of information in a network environment 有权
标题翻译：用于控制网络环境中信息交换的系统和方法
公开(公告)号：US08468195B1
公开(公告)日：2013-06-18
申请号：US12571426
申请日：2009-09-30
申请人： Satish K. Gannu , Deepti Patil , Christian Posse
发明人： Satish K. Gannu , Deepti Patil , Christian Posse
IPC分类号： G06F15/16 , G06F12/00
CPC分类号： G06F17/30522
摘要： A method is provided in one example and includes receiving data propagating in a network environment and organizing the data into one or more subjects. A request is received for information associated with a particular subject and an individual associated with the particular subject is identified. The request can be communicated to the individual if a request limit has not been exceeded for the individual. In other embodiments, a profile associated with each of a plurality of users in the network environment is maintained. The profile can include a number of questions presented to each user, a number of questions answered by each user, and a configured limit on how many questions each user is permitted to receive. In still other embodiments, a designation is made for a total number of requests that can be open between a plurality of users during a given time interval.
摘要翻译：在一个示例中提供了一种方法，并且包括接收在网络环境中传播的数据并将数据组织成一个或多个主题。接收到与特定主题相关联的信息的请求，并且识别与特定主题相关联的个体。如果没有超过个人的请求限制，则可以将该请求传达给个人。在其他实施例中，维护与网络环境中的多个用户中的每一个相关联的简档。该简档可以包括向每个用户呈现的许多问题，每个用户回答的许多问题以及每个用户被允许接收多少问题的配置限制。在其他实施例中，指定在给定时间间隔期间在多个用户之间可以打开的总数量的请求。

17. 发明申请

US20090254581A1 Knowledge discovery system capable of custom configuration by multiple users 审中-公开
标题翻译：知识发现系统能够由多个用户自定义配置
公开(公告)号：US20090254581A1
公开(公告)日：2009-10-08
申请号：US12080753
申请日：2008-04-04
申请人： Alan R. Chappell , Christian Posse , Judith R. McCuaig , Alan R. Willse , Alexander A. Donaldson , Stephen C. Tratz , David A. Thurman , Stuart J. Rose , Gary R. Danielson
发明人： Alan R. Chappell , Christian Posse , Judith R. McCuaig , Alan R. Willse , Alexander A. Donaldson , Stephen C. Tratz , David A. Thurman , Stuart J. Rose , Gary R. Danielson
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F16/355
摘要： An automated method for allowing multiple users to independently analyze a corpus of digital information having discrete elements by providing two or more users access to one or more initial training source of digital information, allowing the users to each define a set of categories, automatically generating a group of digital features associated with at least two of the discrete elements, automatically associating a subset of the discrete elements with at least one of the categories, and automatically determining at least one combination of features and transformed features that identifies at least one of the categories. The automated method allows said two or more users to have the capability to perform the step of defining a set of categories, such that the automated steps of generating a group of digital features, associating a subset of said discrete elements, and determining at least one combination of features and transformed features is in whole or in part determined by the manual input to the automated method.
摘要翻译：一种自动化方法，用于允许多个用户通过提供两个或多个用户访问数字信息的一个或多个初始训练源来独立地分析具有离散元素的数字信息语料库，从而允许用户各自定义一组类别，自动生成与至少两个离散元件相关联的数字特征组自动地将离散元素的子集与至少一个类别相关联，并且自动地确定特征和变换特征的至少一个组合，所述特征和变换特征的标识至少一个类别。所述自动化方法允许所述两个或更多个用户具有执行定义一组类别的步骤的能力，使得产生一组数字特征的自动化步骤，将所述离散元素的子集相关联，并且确定至少一个特征和变换特征的组合全部或部分由自动化方法的手动输入决定。

18. 发明授权

US06978267B2 System and method for personalized information retrieval based on user expertise 失效
公开(公告)号：US06978267B2
公开(公告)日：2005-12-20
申请号：US10971830
申请日：2004-10-21
申请人： Igor Perisic , Christian Posse
发明人： Igor Perisic , Christian Posse
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , Y10S707/99935
摘要： A search request is received at an information retrieval system from a searcher. The search request preferably contains at least one search term and a user identifier. A plurality of objects are then searched based on the at least one search term. At least one located object is found from the plurality of objects. The at least one located object is associated with the search term(s). An intrinsic score based on the search term(s) is subsequently calculated for each located object. The intrinsic score is then adjusted to an adjusted score based on the difference between a creator expertise of a creator of the at least one located object and/or a contributor expertise of a contributor to the at least one located object, and a searcher expertise of the searcher.

19. 发明申请

US20140149328A1 EVALUATION OF A RECOMMENDER 有权
标题翻译：推荐人的评估
公开(公告)号：US20140149328A1
公开(公告)日：2014-05-29
申请号：US13687413
申请日：2012-11-28
申请人： Christian Posse , Anmol Bhasin , Wing Li
发明人： Christian Posse , Anmol Bhasin , Wing Li
IPC分类号： G06N5/02
CPC分类号： G06N5/04 , G06F17/2785 , G06N5/02 , G06Q30/02
摘要： A machine may implement a recommender that provides recommendations to users. The machine may be configured to present a first version of the recommender configured by various parameters. A user may submit a message to the machine, and the machine may identify a parameter among the various parameters by tokenizing the message and identifying the parameter among the tokens. The machine may then generate a second version of the recommender by modifying the parameter and configuring the second version according to the modified parameter. The machine may then present the first and second versions of the recommender contemporaneously two different portions of the users. By tokenizing a further message received from the users, the machine may evaluate the first and second versions and determine whether the second version is a replacement of the first version.
摘要翻译：机器可以实现向用户提供推荐的推荐器。该机器可以被配置为呈现由各种参数配置的推荐器的第一版本。用户可以向机器提交消息，并且机器可以通过标记消息并在令牌中识别参数来识别各种参数中的参数。然后，机器可以通过根据修改的参数修改参数和配置第二版本来生成推荐者的第二版本。然后，机器可以同时呈现推荐者的第一和第二版本两个不同部分的用户。通过标记从用户接收的另外的消息，机器可以评估第一和第二版本并确定第二版本是否是第一版本的替代。

20. 发明申请

US20140143165A1 CUSTOMIZING A USER-EXPERIENCE BASED ON A JOB-SEEKER SCORE 审中-公开
标题翻译：根据作业分数自定义用户体验
公开(公告)号：US20140143165A1
公开(公告)日：2014-05-22
申请号：US13684013
申请日：2012-11-21
申请人： Christian Posse , Mario Sergio Rodriguez , Andrew P. Hill
发明人： Christian Posse , Mario Sergio Rodriguez , Andrew P. Hill
IPC分类号： G06Q50/00
CPC分类号： G06Q50/01 , G06Q10/1053
摘要： Techniques are described herein for deriving, for each member of a social network service, a metric representing the job-seeking propensity of the member. Additionally, techniques for classifying each member with a job-seeking status (e.g., active job-seeker, passive job-seeker, or non-job-seeker) are described. A score-generating algorithm will analyze a variety of input data—including member profile data, social graph data, and activity or behavior data—to derive a job-seeker score, representing the job-seeking propensity of a member. Once derived, the metric is used to customize, personalize or otherwise tailor a user-experience.
摘要翻译：这里描述了用于为社交网络服务的每个成员导出表示成员的求职倾向的度量的技术。此外，描述了用于对寻求工作状态的每个成员进行分类的技术（例如，主动求职者，被动求职者或非求职者）。分数生成算法将分析各种输入数据（包括成员简档数据，社交图数据和活动或行为数据），从而导出求职者得分，代表成员的求职倾向。一旦导出，该度量用于定制，个性化或以其他方式定制用户体验。

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