公开(公告)号：US11176156B2

公开(公告)日：2021-11-16

申请号：US16409559

申请日：2019-05-10

Applicant: salesforce.com, inc.

Inventor： Arun Kumar Jagota ,  Stanislav Georgiev

IPC: G06F16/25 ,  G06N7/00 ,  G06F16/23

Abstract: A system determines a name probability based on a first name dataset frequency of a first name value stored by a first name field in a personal record and a last name dataset frequency of a last name value stored by a last name field in a personal record. The system determines at least one other probability based on another dataset frequency of another value stored by another field in the personal record and an additional dataset frequency of an additional value stored by an additional field in the personal record. The system determines a combined probability based on the name probability and the at least one other probability. The system increments a count of identifiable personal records for each personal record that has a corresponding combined probability that satisfies an identifiability threshold. The system outputs a message based on the count of identifiable personal records.

公开(公告)号：US20160140355A1

公开(公告)日：2016-05-19

申请号：US14548027

申请日：2014-11-19

Applicant: salesforce.com, inc.

Inventor： Arun Jagota ,  Gregory Haardt ,  Govardana Sachithanandam Ramachandran ,  Stanislav Georgiev ,  Matthew Fuchs Fuchs

IPC: G06F21/62 ,  G06F21/50

CPC classification number: G06F21/6218 ,  G06F2221/2117

Abstract: User trust scores based on registration features is described. A system identifies registration features associated with a user registered to interact with a database. The system calculates a registration trust score for the user based on a comparison of multiple registration features associated with the user to corresponding registration features associated with previous users who are restricted from interacting with the database and/or corresponding registration features associated with previous users who are enabled to interact with the database. The system restricts the user from interacting with the database if the registration trust score is above a registration threshold.

Abstract translation: 描述基于注册功能的用户信任评分。 系统识别与注册为与数据库交互的用户相关联的注册特征。 该系统基于与用户相关联的多个注册特征与与先前用户相关联的对应注册特征的比较来计算用户的注册信任分数，所述注册特征与被限制在与数据库交互的先前用户和/或与先前用户相关联的相应注册特征 启用与数据库交互。 如果注册信任分数高于注册阈值，则系统限制用户与数据库交互。

公开(公告)号：US10715626B2

公开(公告)日：2020-07-14

申请号：US14751401

申请日：2015-06-26

Applicant: salesforce.com, inc.

Inventor： Arun Kumar Jagota ,  Sancho S. Pinto ,  Saurin G. Shah ,  Stanislav Georgiev

IPC: G06F16/00 ,  H04L29/08 ,  G06Q30/00 ,  G06F16/33

Abstract: New account routing to user account sets is described. A system creates multiple accounts profiles corresponding to multiple sets of accounts, based on multiple attributes associated with each account of the multiple sets of accounts. The system calculates multiple account scores for an account based on comparing multiple attributes associated with the account against the corresponding multiple accounts profiles, wherein the account is not in the multiple sets of accounts. The system identifies a highest account score of the multiple account scores. The system routes the account to a user associated with a set of accounts corresponding to the highest account score.

公开(公告)号：US20210034638A1

公开(公告)日：2021-02-04

申请号：US16528175

申请日：2019-07-31

Applicant: salesforce.com, inc.

Inventor： Arun Kumar Jagota ,  Stanislav Georgiev

IPC: G06F16/25 ,  G06N20/00 ,  G06N7/00 ,  G06F16/2455

Abstract: A system tokenizes raw values and corresponding standardized values into raw token sequences and corresponding standardized token sequences. A machine-learning model learns standardization from token insertions and token substitutions that modify the raw token sequences to match the corresponding standardized token sequences. The system tokenizes an input value into an input token sequence. The machine-learning model determines a probability of inserting an insertion token after an insertion markable token in the input token sequence. If the probability of inserting the insertion token satisfies a threshold, the system inserts the insertion token after the insertion markable token in the input token sequence. The machine-learning model determines a probability of substituting a substitution token for a substitutable token in the input token sequence. If the probability of substituting the substitution token satisfies another threshold, the system substitutes the substitution token for the substitutable token in the input token sequence.

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。

公开(公告)号：US10572820B2

公开(公告)日：2020-02-25

申请号：US14843078

申请日：2015-09-02

Applicant: salesforce.com, inc.

Inventor： Arun Kumar Jagota ,  Stanislav Georgiev

IPC: G06N20/00 ,  G06F16/9535 ,  G06F16/335

Abstract: A personalized recommendation model scores each object in an interaction set of objects with which a user interacted and in a ransom set of objects with which the user lacks known interaction. A system sorts each scored object based on a decreasing order of each corresponding score, and identifies a high scoring set of the sorted objects with a number (equal to the number of objects in the interaction set of objects) of highest corresponding scores. The system aggregates a corresponding order value for each object in the high scoring set that is also in the interaction set of objects (the corresponding order value for an object is based on a corresponding order for the object in the high scoring set). The system evaluates the model for the user by dividing the aggregated order value by an aggregation of a corresponding order value for each object in the high scoring set.

公开(公告)号：US09594790B2

公开(公告)日：2017-03-14

申请号：US14074475

申请日：2013-11-07

Applicant: salesforce.com, inc.

Inventor： Matthew Fuchs ,  Stanislav Georgiev ,  Mehmet Orun

IPC: G06F17/00 ,  G06F17/30

CPC classification number: G06F17/30345

Abstract: A system and method for evaluating claims from sources to update database records. A trust score is developed for each source. If a source submits a claim, the trust score for that source and the value of the claim are evaluated against prior conflicting claims. If the current claim is deemed the most likely, then it is adopted as provisional “truth”. If not, the current claim is rejected.

Abstract translation: 一种用于评估来源的声明以更新数据库记录的系统和方法。 为每个来源开发信任评分。 如果一个来源提交了一个索赔，那么该来源的信任分数和索赔的价值将根据以前的冲突索赔进行评估。 如果目前的要求被认为是最有可能的，那么它被认为是临时的“真相”。 如果没有，当前的索赔被拒绝。

公开(公告)号：US20170061325A1

公开(公告)日：2017-03-02

申请号：US14843078

申请日：2015-09-02

Applicant: SALESFORCE.COM, INC.

Inventor： Arun Kumar Jagota ,  Stanislav Georgiev

IPC: G06N99/00 ,  G06F17/30

CPC classification number: G06N20/00 ,  G06F16/337 ,  G06F16/9535

Abstract: A personalized recommendation model scores each object in an interaction set of objects with which a user interacted and in a ransom set of objects with which the user lacks known interaction. A system sorts each scored object based on a decreasing order of each corresponding score, and identifies a high scoring set of the sorted objects with a number (equal to the number of objects in the interaction set of objects) of highest corresponding scores. The system aggregates a corresponding order value for each object in the high scoring set that is also in the interaction set of objects (the corresponding order value for an object is based on a corresponding order for the object in the high scoring set). The system evaluates the model for the user by dividing the aggregated order value by an aggregation of a corresponding order value for each object in the high scoring set.

Abstract translation: 个性化推荐模型对用户与之交互的对象的交互集合中的每个对象以及用户缺少已知交互的对象的赎金集合中的每个对象进行评分。 系统基于每个对应分数的递减顺序对每个评分对象进行排序，并用最高对应分数的数目（等于对象的交互集合中的对象的数量）来识别排序对象的高评分集。 系统聚合高分数集中每个对象的相应订单值，这些对象也在对象的交互集合中（对象的相应订单值基于高分数集中的对象的相应订单）。 系统通过将聚合顺序值除以高分数集中每个对象的相应订单值的聚合来评估用户的模型。

公开(公告)号：US20160379265A1

公开(公告)日：2016-12-29

申请号：US14750551

申请日：2015-06-25

Applicant: salesforce.com, inc.

Inventor： Arun Kumar Jagota ,  Sancho S. Pinto ,  Saurin G. Shah ,  Stanislav Georgiev

IPC: G06Q30/02

CPC classification number: G06Q30/0269

Abstract: New account recommendations for user account sets are described. A system creates an accounts profile for a set of accounts based on multiple attributes associated with each account of the set of accounts. The system calculates an account score for an account based on comparing multiple attributes associated with the account against the accounts profile, wherein the account is not in the set of accounts. The system determines whether the account score satisfies an account score threshold. The system recommends the account to a user associated with the set of accounts if the account score satisfies the account score threshold.

Abstract translation: 描述用户帐户集的新帐户建议。 系统根据与该组帐户中的每个帐户相关联的多个属性为一组帐户创建帐户配置文件。 该系统基于将与帐户相关联的多个属性与帐户简档进行比较来计算帐户的帐户分数，其中该帐户不在该组帐户中。 系统确定帐户分数是否满足帐户分数阈值。 如果帐户分数满足帐户分数阈值，系统会向与该组帐户相关联的用户建议该帐户。

公开(公告)号：US20220342909A1

公开(公告)日：2022-10-27

申请号：US17237524

申请日：2021-04-22

Applicant: salesforce.com, inc.

Inventor： Sruthi Vasireddy ,  Shouzhong Shi ,  Yatin Umrotkar ,  Nathan Halko ,  Stanislav Georgiev

IPC: G06F16/28 ,  G06F16/21 ,  G06F16/2455 ,  G06F16/25

Abstract: A method, apparatus, and computer-readable medium are disclosed. The method may include receiving a request to merge a first unified profile with a second unified profile, the first and second unified profile each having a set of records grouped according to a set of rules. The method may include merging the first unified profile with the second unified profile to generate a merged unified profile including a merged set of records. The method may include generating an association between the second set of records and the first set of records. The method may include receiving a request to undo the merging. The method may include ingesting, based at least in part on the request to undo the merging, the merged set of records into the automated match process by applying the set of rules and excluding the generated association.