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公开(公告)号：US20150269595A1
公开(公告)日：2015-09-24
申请号：US14486111
申请日：2014-09-15
Applicant: salesforce.com, inc.
Inventor： Arun Jagota , Gregory Haardt , Govardana Sachithanandam Ramachandran , Lei Ming , Matthew Fuchs , George Vitchev , Fang Wong
IPC: G06Q30/02
CPC classification number: G06Q30/0202 , G06Q10/06315 , G06Q10/067 , G06Q10/103 , G06Q10/105 , G06Q30/00 , G06Q30/02 , G06Q30/0235 , G06Q30/0255 , G06Q30/06 , G06Q30/0631 , G06Q40/00
Abstract: Contact recommendations based on purchase history are described. A system creates a directed graph of nodes in which at least some of the nodes are connected by directed arcs, wherein a directed arc from a first node to a second node represents a conditional probability that previous users who purchased a first contact also purchased a second contact. The system identifies a set of contacts purchased by a current user. The system estimates a prospective purchase probability based on a historical probability that previous users purchased a specific contact and a related probability that previous users who purchased the specific contact also purchased a contact in the set of contacts, for each candidate contact. The system outputs a recommendation for the current user to purchase a recommended candidate contact based on a corresponding prospective purchase probability.
Abstract translation: 描述了基于购买历史的联系建议。 系统创建节点的有向图，其中至少一些节点通过定向弧连接，其中从第一节点到第二节点的有向弧表示先前用户购买第一个联系人的条件概率也购买了第二个节点 联系。 该系统识别当前用户购买的一组联系人。 该系统基于以前用户购买特定联系人的历史概率以及购买特定联系人的先前用户也为每个候选联系人购买联系人的联系人的相关概率来估计预期购买概率。 该系统基于相应的预期购买概率输出针对当前用户购买推荐候选联系人的建议。
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公开(公告)号：US20140304054A1
公开(公告)日：2014-10-09
申请号：US14226475
申请日：2014-03-26
Applicant: salesforce.com, inc.
Inventor： Mehmet Orun , Matthew Fuchs
IPC: G06Q30/02
CPC classification number: G06Q30/0225
Abstract: Some embodiments of the present invention include determining if updates performed by a second user include a systematic change such as a reversal of an update previously performed by a first user within a time window. The reversal is associated with a record of data used by a gamification application executing in a computer system. A time delay is introduced between the update performed by the second user and rewarding the second user if the update performed by the second user includes the reversal within the time window. An update history of the first user and the second user is evaluated to identify pattern of reversals associated with similar records within the time window. The second user is prevented from being rewarded based on identifying that there are patterns of reversals from the update history occurring within the time window.
Abstract translation: 本发明的一些实施例包括确定由第二用户执行的更新是否包括诸如在时间窗口内先前由第一用户执行的更新的反转的系统改变。 反转与在计算机系统中执行的游戏化应用使用的数据的记录相关联。 如果由第二用户执行的更新在时间窗内包括反转，则在由第二用户执行的更新之间引入时间延迟并奖励第二用户。 评估第一用户和第二用户的更新历史以识别与时间窗口内的类似记录相关联的反转模式。 基于识别出在时间窗内发生的更新历史存在反转的模式，防止第二用户被奖励。
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公开(公告)号：US20140025683A1
公开(公告)日：2014-01-23
申请号：US13945758
申请日：2013-07-18
Applicant: Salesforce.com, Inc.
Inventor： Craig Howland , Stanislav Georgiev , Feng Meng , George Vitchev , Zandro Luis Gonzalez , Matthew Fuchs , Arun Jagota
IPC: G06F17/30
CPC classification number: G06F16/285 , G06F16/24578 , G06F16/335 , G06F16/9535 , G06Q10/107
Abstract: A method of managing crowdsourced data includes storing contact information regarding a plurality of contacts within a community-updateable repository accessible by a plurality of users, receiving a plurality of discrepancy reports associated with a selected contact of the plurality of contacts, extracting fact data regarding the selected contact from the plurality of discrepancy reports, determining an action to be taken based on the fact data and a fact model applied to the fact data, and performing the action to modify the community-updateable repository.
Abstract translation: 管理众包数据的方法包括存储关于多个用户可访问的社区可更新储存库内的多个联系人的联系人信息，接收与多个联系人的选定联系人相关联的多个差异报告，提取与多个联系人有关的事实数据 从所述多个差异报告中选择的联系人，基于事实数据确定要采取的动作，以及应用于事实数据的事实模型，以及执行修改社区可更新存储库的动作。
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公开(公告)号：US10956503B2
公开(公告)日：2021-03-23
申请号：US15271079
申请日：2016-09-20
Applicant: salesforce.com, inc.
Inventor： Matthew Fuchs
IPC: G06F16/9032 , G06F16/9038 , G06F16/903
Abstract: A system receives a character sequence entered in a search box, identifies a first item that includes the character sequence and a second item that includes the character sequence, identifies a first item set that includes the first item and a second item set that includes the second item; and outputs the first item set and the second item set to a location associated with the search box. The system receives a selection of a third item from the first item set, identifies a third item set that includes the third item and a fourth item set that includes the third item, and outputs the third item set and the fourth item set to the location associated with the search box. The system receives a selection of any item set from the location associated with the search box, and executes a search based on the selected item set.
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公开(公告)号：US10354264B2
公开(公告)日：2019-07-16
申请号：US14486111
申请日：2014-09-15
Applicant: salesforce.com, inc.
Inventor： Arun Jagota , Gregory Haardt , Govardana Sachithanandam Ramachandran , Lei Ming , Matthew Fuchs , George Vitchev , Fang Wong
Abstract: Contact recommendations based on purchase history are described. A system creates a directed graph of nodes in which at least some of the nodes are connected by directed arcs, wherein a directed arc from a first node to a second node represents a conditional probability that previous users who purchased a first contact also purchased a second contact. The system identifies a set of contacts purchased by a current user. The system estimates a prospective purchase probability based on a historical probability that previous users purchased a specific contact and a related probability that previous users who purchased the specific contact also purchased a contact in the set of contacts, for each candidate contact. The system outputs a recommendation for the current user to purchase a recommended candidate contact based on a corresponding prospective purchase probability.
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Patent Agency Ranking
公开(公告)号：US10235637B2
公开(公告)日：2019-03-19
申请号：US14839784
申请日：2015-08-28
Applicant: salesforce.com, inc.
Inventor： Matthew Fuchs
Abstract: The technology disclosed describes systems and methods for generating feature vectors from resource description framework (RDF) graphs. Machine learning tasks frequently operate on vectors of features. Available systems for parsing multiple documents often generate RDF graphs. Once a set of interesting features to be considered has been established, the disclosed technology describes systems and methods for generating feature vectors from the RDF graphs for the documents. In one example setting, a machine learning system can use generated feature vectors to determine how interesting a news article might be, or to learn information-of-interest about a specific subject reported in multiple articles. In another example setting, viable interview candidates for a particular job opening can be identified using feature vectors generated from a resume database, using the disclosed systems and methods for generating feature vectors from RDF graphs.
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公开(公告)号：US09977797B2
公开(公告)日：2018-05-22
申请号：US14867154
申请日：2015-09-28
Applicant: salesforce.com, inc.
Inventor： Arun Kumar Jagota , Matthew Fuchs
CPC classification number: G06F17/30292 , G06F17/30345 , G06N5/02 , G06N7/005 , G06Q30/02
Abstract: A combined directed graph is created having a corresponding node for each node in a first directed graph lacking a corresponding node in a second directed graph, each node in the second graph lacking a corresponding node in the first graph, and each node in the first graph having a corresponding node in the second graph. A corresponding directed arc is created in the combined directed graph for each arc in the first graph lacking a corresponding arc in the second directed graph, each arc in the second graph lacking a corresponding arc in the first graph, and each arc in the first graph having a corresponding arc in the second graph. A recommendation is output for a user to interact with a recommended object based on an object interaction and a conditional probability, in the combined graph, which corresponds to the recommended object and the object interaction.
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公开(公告)号：US20160125347A1
公开(公告)日：2016-05-05
申请号：US14532179
申请日：2014-11-04
Applicant: salesforce.com, inc.
Inventor： Arun Kumar Jagota , Gregory Haardt , Matthew Fuchs
CPC classification number: G06Q10/06398 , G06F16/248
Abstract: User scores based on bulk record updates is described. A system receives record updates submitted by a user. The system subtracts a penalty debit from a user score, which corresponds to the user, for each record which corresponds to at least one of the record updates and which is removed from purchasing availability. The system adds a full credit to the user score for each record which corresponds to at least one of the record updates and which is purchased. The system adds a partial credit to the user score for each record which corresponds to at least one of the record updates and which is yet to be purchased and which is yet to be removed from purchasing availability, wherein the partial credit is a positive value that is less than the full credit. The system enables the user to access records, based on the user score.
Abstract translation: 描述基于批量记录更新的用户分数。 系统接收用户提交的记录更新。 对于对应于至少一个记录更新并且从购买可用性中移除的每个记录，该系统从对应于用户的用户分数中减去罚金。 该系统对与至少一个记录更新和购买的记录相对应的每个记录的用户分数增加了完整的信用。 该系统对与至少一个记录更新对应的每个记录的用户分数添加部分信用，并且哪些尚未被购买，哪些尚未从购买可用性中移除，其中部分信用是正值 不到全部信用。 该系统使用户能够根据用户得分访问记录。
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公开(公告)号：US20160085789A1
公开(公告)日：2016-03-24
申请号：US14490841
申请日：2014-09-19
Applicant: salesforce.com, inc.
Inventor： Matthew Fuchs
IPC: G06F17/30
CPC classification number: G06F17/30303 , G06F17/30371
Abstract: An error checking technique for database records. A record is selected and its entities are compared with the entities of other records stored in the database to determine a likelihood that the labels associated with the entities of the selected record are correct. The likelihood for each entity of the selected record being correctly labeled can be determined by comparing the number of times that the entity appears in the database records with that label to the number of times that the entity appears in the database records with any other label. If the likelihood does not exceed a threshold, then an error is likely, and action can be taken to correct the record.
Abstract translation: 数据库记录的错误检查技术。 选择记录，并将其实体与存储在数据库中的其他记录的实体进行比较，以确定与所选记录的实体相关联的标签是否正确的可能性。 所选记录的每个实体的正确标记的可能性可以通过将数据库记录中的实体出现在该标签上的次数与具有任何其他标签的数据库记录中出现的次数相比较来确定。 如果可能性不超过阈值，则可能会出现错误，并且可以采取行动来更正记录。
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公开(公告)号：US20150347926A1
公开(公告)日：2015-12-03
申请号：US14690127
申请日：2015-04-17
Applicant: salesforce.com, inc.
Inventor： Matthew Fuchs
Abstract: The technology described uses a Naïve Bayes Classifier with Active-Feature Ordering to identify contributors to a contact database who are likely to be able to update an arbitrary contact. The technology disclosed further relates to identifying the n most likely records with a number of features, with each feature having a specific finite number of different possible values. The disclosed technology also describes using a Naïve Bayes Classifier with Active-Feature Ordering for diagnostic screening, to evaluate a patient's symptoms against a compendium of diseases to choose the diseases with the greatest posterior likelihood given the vector of observed symptoms of the patient. The disclosed technology additionally describes using a Naïve Bayes Classifier with Active-Feature Ordering for crowd sourcing tasks, using a sample data set that includes thousands of workers, to identify a worker, who is experienced, to complete a featured task.
Abstract translation: 所描述的技术使用具有主动特征订购的朴素贝叶斯分类器来识别可能更新任意联系人的联系人数据库的贡献者。 所公开的技术还涉及识别具有多个特征的n个最可能的记录，每个特征具有特定有限数量的不同可能值。 所公开的技术还描述了使用具有活动特征排序的初始贝叶斯分类器进行诊断筛查，以评估患者的症状与疾病纲要，以选择具有患者观察症状的载体的最大后验可能性的疾病。 所公开的技术另外描述了使用具有主动特征订购的初始贝叶斯分类器来进行人群采购任务，使用包含数千名工作人员的样本数据集来识别有经验的完成特征任务的工作人员。
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