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21. 发明授权

US11429901B1 Pitman-Yor process topic modeling pre-seeded by keyword groupings 有权
公开(公告)号：US11429901B1
公开(公告)日：2022-08-30
申请号：US17552991
申请日：2021-12-16
申请人： Invoca, Inc.
发明人： Michael McCourt , Victor Borda
IPC分类号： G10L15/04 , G06N20/00 , G06F40/40
摘要： In one embodiment, the disclosed technology involves: digitally generating and storing a machine learning statistical topic model in computer memory, the topic model being programmed to model call transcript data representing words spoken on a call as a function of one or more topics of a set of topics that includes pre-seeded topics and non-pre-seeded topics; programmatically pre-seeding the topic model with a set of keyword groups; programmatically training the topic model using unlabeled training data; conjoining a classifier to the topic model to create a classifier model; programmatically training the classifier model using labeled training data; receiving target call transcript data; programmatically determining at least one of one or more topics of the target call or one or more classifications of the target call; and digitally storing the target call transcript data with additional data indicating the determined topics and/or classifications of the target call.

22. 发明授权

US11423330B2 Performance score determiner for binary signal classifiers 有权
公开(公告)号：US11423330B2
公开(公告)日：2022-08-23
申请号：US16359809
申请日：2019-03-20
申请人： Invoca, Inc.
发明人： Michael Kingsley McCourt, Jr.
IPC分类号： G06N20/00 , G06F17/18 , G06N7/00
摘要： There are disclosed devices, system and methods for determining a performance score for a trained binary signal classifier (classifier) by determining test output predictions for test input data entries that are input into the classifier. The test outputs are then compared to known outputs of each of the input data entries to determine whether each test output is a true negative (TN), true positive (TP), false negative (FN) or false positive (FP). A number of correct test outputs (R) is defined as a number of the true negative outputs (TN) plus a number of the true positive outputs (TP). A number of incorrect test outputs (W) is defined as a number of the false negative outputs (FN) plus a number of the false positive outputs (FP). The performance score is then calculated using a mathematical expression that decreases as W increases, decreases as TN decreases and decreases as TP decreases.

23. 发明授权

US10984443B2 Call tracking 有权
公开(公告)号：US10984443B2
公开(公告)日：2021-04-20
申请号：US16689011
申请日：2019-11-19
申请人： Invoca, Inc.
发明人： Garvan Michael Kuskey , Lauren Kimberly Harris , Colin D. Kelley
IPC分类号： G06Q30/02 , H04M3/51 , H04L29/08 , H04L12/58 , H04M3/487
摘要： There are disclosed systems and methods for facilitating communications between individuals and enterprises and in particular, to methods and systems for tracking and attributing customer and/or customer prospect online and offline communications in association with a marketing campaign.

24. 发明授权

US10719783B2 Binary signal classifiers that tolerate incorrect training data 有权
公开(公告)号：US10719783B2
公开(公告)日：2020-07-21
申请号：US16414584
申请日：2019-05-16
申请人： Invoca, Inc.
发明人： Michael Kingsley McCourt, Jr.
IPC分类号： G06N20/00 , G06F17/18 , G06N7/00
摘要： There are disclosed devices, system and methods for a machine learning binary classifier automatically tolerating training data that is incorrect by determining a correct and an incorrect likelihood ratio that each training data entry has a correctly and an incorrectly labeled output. The correct and an incorrect likelihood ratio are combined with a correct and an incorrect priori odds ratio that the set of training data entries have correctly and incorrect labeled output labels. These two combinations are a correct probability and an incorrect probability that each entry of the set of entries has a correctly and an incorrect labeled output. A logistic regression model if fit to a combination of the correct probability and the incorrect probability for each training data entry to complete the training.

25. 发明授权

US09171322B2 Methods and systems for routing calls in a marketing campaign 有权
标题翻译：在营销活动中路由呼叫的方法和系统
公开(公告)号：US09171322B2
公开(公告)日：2015-10-27
申请号：US14680994
申请日：2015-04-07
申请人： Invoca, Inc.
发明人： Jason S. Spievak , David S. Trandal , Victor Borda
IPC分类号： H04M3/00 , H04M5/00 , G06Q30/02 , H04M7/00 , H04M3/493 , H04M3/42 , H04M3/487 , H04M3/51
CPC分类号： G06Q30/0275 , G06Q30/0202 , G06Q30/0246 , H04M3/4878 , H04M3/493 , H04M3/51 , H04M3/5158 , H04M3/5175 , H04M3/5183 , H04M3/5191
摘要： An online and offline communication processing and tracking system using data processing and data/voice networks is described. A phone address from a phone address number pool is automatically assigned to a first customer prospect communication. A call quality rating is determined and recorded. A call from a caller directed to the phone address is received at a call bridging system coupled to at least one network, wherein the call is associated with call signaling information. Based at least in part on the call quality associated with the caller call, the caller call is routed to entity placing a bid on the caller call. An outbound call is generated from the call bridging system and the inbound and the outbound calls are bridged.
摘要翻译：描述了使用数据处理和数据/语音网络的在线和离线通信处理和跟踪系统。来自电话地址号码池的电话地址被自动分配给第一个客户潜在客户通信。确定并记录通话质量评级。在与至少一个网络耦合的呼叫桥接系统处接收来自指向电话地址的呼叫者的呼叫，其中呼叫与呼叫信令信息相关联。至少部分地基于与呼叫者呼叫相关联的呼叫质量，呼叫者呼叫被路由到在呼叫者呼叫上投标的实体。从呼叫桥接系统生成出站呼叫，并将入站和出站呼叫桥接。

26. 发明授权

US08781105B1 Methods and systems for processing and managing communications 有权
标题翻译：处理和管理通信的方法和系统
公开(公告)号：US08781105B1
公开(公告)日：2014-07-15
申请号：US14184330
申请日：2014-02-19
申请人： Invoca, Inc.
发明人： Robert J. Duva , Colin D. Kelley , Jason S. Spievak , David S. Trandal
IPC分类号： H04M3/00 , H04M5/00 , G06Q30/02
CPC分类号： H04M3/51 , G06Q30/0246 , H04M3/4878 , H04M3/5175
摘要： An online and offline communication processing and tracking using data processing and data/voice networks is described. A phone address from a phone address number pool is automatically assigned to a first entity. A call quality rating is determined and recorded. A call from a caller directed to the phone address is received at a call bridging system coupled to at least one network, wherein the call is associated with call signaling information. Based at least in part on the call quality associated with the caller call, the caller call is assigned to a first location in a call queue. An outbound call is generated from the call bridging system and the inbound and the outbound calls are bridged. One or more parameters of the bridged call are compared to the call quality rating. An indication is recorded regarding the successful bridging of the calls in association with an entity identifier.
摘要翻译：描述使用数据处理和数据/语音网络的在线和离线通信处理和跟踪。来自电话号码池的电话地址将自动分配给第一个实体。确定并记录通话质量评级。在与至少一个网络耦合的呼叫桥接系统处接收来自指向电话地址的呼叫者的呼叫，其中呼叫与呼叫信令信息相关联。至少部分地基于与呼叫者呼叫相关联的呼叫质量，呼叫呼叫被分配给呼叫队列中的第一个位置。从呼叫桥接系统生成出站呼叫，并将入站和出站呼叫桥接。将桥接呼叫的一个或多个参数与通话质量评级进行比较。记录关于与实体标识符相关联的呼叫的成功桥接的指示。

27. 发明申请

US20140172504A1 METHODS AND SYSTEMS FOR PROCESSING AND MANAGING COMMUNICATIONS 有权
标题翻译：用于处理和管理通信的方法和系统
公开(公告)号：US20140172504A1
公开(公告)日：2014-06-19
申请号：US14184260
申请日：2014-02-19
申请人： INVOCA, INC.
发明人： Robert J. Duva , Colin D. Kelley , Jason S. Spievak , David S. Trandal
IPC分类号： G06Q30/02 , H04M3/523
CPC分类号： G06Q30/0202 , G06Q30/0242 , H04M3/4878 , H04M3/51 , H04M3/5175
摘要： An online and offline communication processing and tracking using data processing and data/voice networks is described. A phone address from a phone address number pool is automatically assigned to a first entity. A call quality rating is determined and recorded. A call from a caller directed to the phone address is received at a call bridging system coupled to at least one network, wherein the call is associated with call signaling information. Based at least in part on the call quality associated with the caller call, the caller call is assigned to a first location in a call queue. An outbound call is generated from the call bridging system and the inbound and the outbound calls are bridged. One or more parameters of the bridged call are compared to the call quality rating. An indication is recorded regarding the successful bridging of the calls in association with an entity identifier.
摘要翻译：描述使用数据处理和数据/语音网络的在线和离线通信处理和跟踪。来自电话号码池的电话地址将自动分配给第一个实体。确定并记录通话质量评级。在与至少一个网络耦合的呼叫桥接系统处接收来自指向电话地址的呼叫者的呼叫，其中呼叫与呼叫信令信息相关联。至少部分地基于与呼叫者呼叫相关联的呼叫质量，呼叫呼叫被分配给呼叫队列中的第一个位置。从呼叫桥接系统生成出站呼叫，并将入站和出站呼叫桥接。将桥接呼叫的一个或多个参数与通话质量评级进行比较。记录关于与实体标识符相关联的呼叫的成功桥接的指示。

28. 发明授权

US08755511B2 Methods and systems for processing and managing telephonic communications 有权
标题翻译：处理和管理电话通信的方法和系统
公开(公告)号：US08755511B2
公开(公告)日：2014-06-17
申请号：US14069152
申请日：2013-10-31
申请人： Invoca, Inc.
发明人： Robert J. Duva , Colin D. Kelley , Jason S. Spievak , David S. Trandal
IPC分类号： H04M3/00 , H04M5/00
CPC分类号： G06Q30/0246 , H04M3/4878 , H04M3/51 , H04M3/5175
摘要： An online and offline communication processing and tracking using data processing and data/voice networks is described. A phone address from a phone address number pool is automatically assigned to a first entity. A call quality rating is determined and recorded. A call from a caller directed to the phone address is received at a call bridging system coupled to at least one network, wherein the call is associated with call signaling information. Based at least in part on the call quality associated with the caller call, the caller call is assigned to a first location in a call queue. An outbound call is generated from the call bridging system and the inbound and the outbound calls are bridged. One or more parameters of the bridged call are compared to the call quality rating. An indication is recorded regarding the successful bridging of the calls in association with an entity identifier.
摘要翻译：描述使用数据处理和数据/语音网络的在线和离线通信处理和跟踪。来自电话号码池的电话地址将自动分配给第一个实体。确定并记录通话质量评级。在与至少一个网络耦合的呼叫桥接系统处接收来自指向电话地址的呼叫者的呼叫，其中呼叫与呼叫信令信息相关联。至少部分地基于与呼叫者呼叫相关联的呼叫质量，呼叫呼叫被分配给呼叫队列中的第一个位置。从呼叫桥接系统生成出站呼叫，并将入站和出站呼叫桥接。将桥接呼叫的一个或多个参数与通话质量评级进行比较。记录关于与实体标识符相关联的呼叫的成功桥接的指示。

29. 发明申请

US20230055948A1 AUTOMATIC CLASSIFICATION OF PHONE CALLS USING REPRESENTATION LEARNING BASED ON THE HIERARCHICAL PITMAN-YOR PROCESS 有权
公开(公告)号：US20230055948A1
公开(公告)日：2023-02-23
申请号：US17397709
申请日：2021-08-09
申请人： Invoca, Inc.
发明人： Michael McCourt
IPC分类号： G10L15/14 , G10L15/06 , G06N20/00
摘要： Embodiments of the disclosed technology include a representation learning model for classification of natural language text. In embodiments, a classification model comprises a feature model and a classifier. The feature model may be hierarchical in nature: data may pass through a series of representations, decreasing in specificity and increasing in generality. Intermediate levels of representation may then be used as automatically learned features to train a statistical classifier. Specifically, the feature model may be based on a hierarchical Pitman-Yor process. In embodiments, once the feature model has been expressed as a Bayesian Belief Network and some aspect of the feature model has been selected for prediction, the feature model may be attached to the classifier. In embodiments, after training, potentially using a mix of labeled and unlabeled data, the classification model can be used to classify documents such as call transcripts based on topics of conversation represented in the transcripts.

30. 发明授权

US11521601B2 Detecting extraneous topic information using artificial intelligence models 有权
公开(公告)号：US11521601B2
公开(公告)日：2022-12-06
申请号：US16996761
申请日：2020-08-18
申请人： Invoca, Inc.
发明人： Michael McCourt , Michael Lawrence
IPC分类号： G06F16/35 , G10L15/18 , G06N20/00 , G10L15/183 , G10L15/22 , G06N5/04 , G06N5/02
摘要： Systems and methods for improving machine learning systems used to model topics on a plurality of calls are described herein. In an embodiment, a server computer receives plurality of digitally stored call transcripts that have been prepared from digitally recorded voice calls. The server computer uses a topic model of an artificial intelligence machine learning system, the topic model modeling words of a call as a function of one or more word distributions for each topic of a plurality of topics, to generate an output of the topic model which identifies the plurality of topics represented in the plurality of call transcripts. The server computer computes, for a particular topic of the plurality of topics a first value representing a vocabulary of the particular topic and a second value representing a consistency of the particular topic in two more call transcripts of the plurality of call transcripts which include the particular topic. Based, at least in part, on one or more of the first value or the second value, the server computer determines that the particular topic meets a particular criterion and, in response, updates the output of the topic model to remove the particular topic or distinguish the particular topic from other topics of the plurality of topics which do not meet the particular criterion.

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