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公开(公告)号：US10446135B2
公开(公告)日：2019-10-15
申请号：US15837980
申请日：2017-12-11
Inventor： Avraham Faizakof , Yoni Lev , Amir Lev-Tov , Yochai Konig
Abstract: A method for detecting and categorizing topics in a plurality of interactions includes: extracting, by a processor, a plurality of fragments from the plurality of interactions; filtering, by the processor, the plurality of fragments to generate a filtered plurality of fragments; clustering, by the processor, the filtered fragments into a plurality of base clusters; and clustering, by the processor, the plurality of base clusters into a plurality of hyper clusters.
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公开(公告)号：US10382623B2
公开(公告)日：2019-08-13
申请号：US14919673
申请日：2015-10-21
Inventor： Amir Lev-Tov , Tamir Tapuhi , Yoni Lev , Avraham Faizakof , Yochai Konig
Abstract: A method for configuring an automated self-help system based on prior interactions between a plurality of customers and a plurality of agents of a contact center includes: recognizing, by a processor, speech in the prior interactions between customers and agents to generate recognized text, the recognized text including a plurality of phrases, the phrases being classified into a plurality of clusters; extracting, by the processor, a plurality of sequences of clusters, each of the sequences of clusters corresponding to the phrases of one of the prior interactions; filtering, by the processor, the sequences of clusters based on a criterion; mining, by the processor, a preliminary dialog tree from the sequences of clusters; invoking configuration of the automated self-help system based on the preliminary dialog tree; and outputting a dialog tree for configuring the automated self-help system.
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公开(公告)号：US10455088B2
公开(公告)日：2019-10-22
申请号：US14919675
申请日：2015-10-21
Inventor： Tamir Tapuhi , Yochai Konig , Amir Lev-Tov , Avraham Faizakof , Yoni Lev
Abstract: A method for generating a dialog tree for an automated self-help system of a contact center from a plurality of recorded interactions between customers and agents of the contact center includes: computing, by a processor, a plurality of feature vectors, each feature vector corresponding to one of the recorded interactions; computing, by the processor, similarities between pairs of the feature vectors; grouping, by the processor, similar feature vectors based on the computed similarities into groups of interactions; rating, by the processor, feature vectors within each group of interactions based on one or more criteria, wherein the criteria include at least one of interaction time, success rate, and customer satisfaction; and outputting, by the processor, a dialog tree in accordance with the rated feature vectors for configuring the automated self-help system.
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4.发明申请SYSTEM AND METHOD FOR INTERACTIVE MULTI-RESOLUTION TOPIC DETECTION AND TRACKING 审中-公开用于交互式多分辨率主题检测和跟踪的系统和方法公开(公告)号：US20160188672A1
公开(公告)日：2016-06-30
申请号：US14586730
申请日：2014-12-30
Inventor： Yoni Lev , Avraham Faizakof , Amir Lev-Tov , Tamir Tapuhi , Yochai Konig
CPC classification number: G06F17/30976 , G06F17/30713 , G06Q30/0281 , G06Q50/01
Abstract: A method for tracking known topics in a plurality of interactions includes: extracting, by a processor, a plurality of fragments from the plurality of interactions; initializing, by the processor, a collection of tracked topics to an empty collection; computing, by the processor, a similarity between each fragment of the fragments and each of the known topics; and adding, by the processor, a known topic of the known topics to the tracked topics in response to the similarity between a fragment and the known topic exceeding a threshold value.
Abstract translation: 用于跟踪多个交互中的已知主题的方法包括：由处理器从多个交互中提取多个片段; 由处理器将跟踪主题的集合初始化为空集合; 由处理器计算片段的每个片段和每个已知主题之间的相似度; 以及响应于片段和超过阈值的已知主题之间的相似度，由处理器将已知主题的已知主题添加到所跟踪的主题。
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公开(公告)号：US20200007682A1
公开(公告)日：2020-01-02
申请号：US16567513
申请日：2019-09-11
Inventor： Tamir Tapuhi , Yochai Konig , Amir Lev-Tov , Avraham Faizakof , Yoni Lev
IPC: H04M3/493
Abstract: A method for generating a dialogue tree for an automated self-help system of a contact center from a plurality of recorded interactions between customers and agents of the contact center includes: computing, by a processor, a plurality of feature vectors, each feature vector corresponding to one of the recorded interactions; computing, by the processor, similarities between pairs of the feature vectors; grouping, by the processor, similar feature vectors based on the computed similarities into groups of interactions; rating, by the processor, feature vectors within each group of interactions based on one or more criteria, wherein the criteria include at least one of interaction time, success rate, and customer satisfaction; and outputting, by the processor, a dialogue tree in accordance with the rated feature vectors for configuring the automated self-help system.
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Patent Agency Ranking
公开(公告)号：US10515150B2
公开(公告)日：2019-12-24
申请号：US14799369
申请日：2015-07-14
Inventor： Yoni Lev , Tamir Tapuhi , Avraham Faizakof , Amir Lev-Tov , Yochai Konig
Abstract: A method for configuring an automated, speech driven self-help system based on prior interactions between a plurality of customers and a plurality of agents includes: recognizing, by a processor, speech in the prior interactions between customers and agents to generate recognized text; detecting, by the processor, a plurality of phrases in the recognized text; clustering, by the processor, the plurality of phrases into a plurality of clusters; generating, by the processor, a plurality of grammars describing corresponding ones of the clusters; outputting, by the processor, the plurality of grammars; and invoking configuration of the automated self-help system based on the plurality of grammars.
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公开(公告)号：US10061867B2
公开(公告)日：2018-08-28
申请号：US14586730
申请日：2014-12-30
Inventor： Yoni Lev , Avraham Faizakof , Amir Lev-Tov , Tamir Tapuhi , Yochai Konig
CPC classification number: G06F16/90332 , G06F16/358 , G06Q30/0281 , G06Q50/01
Abstract: A method for tracking known topics in a plurality of interactions includes: extracting, by a processor, a plurality of fragments from the plurality of interactions; initializing, by the processor, a collection of tracked topics to an empty collection; computing, by the processor, a similarity between each fragment of the fragments and each of the known topics; and adding, by the processor, a known topic of the known topics to the tracked topics in response to the similarity between a fragment and the known topic exceeding a threshold value.
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公开(公告)号：US20160012818A1
公开(公告)日：2016-01-14
申请号：US14327476
申请日：2014-07-09
Inventor： Avraham Faizakof , Yoni Lev , Amir Lev-Tov , Yochai Konig
CPC classification number: G10L15/063 , G06F17/2755 , G06F17/2785 , G06F17/30598 , G06F17/30705 , G10L2015/0631 , G10L2015/223
Abstract: A method for detecting and categorizing topics in a plurality of interactions includes: extracting, by a processor, a plurality of fragments from the plurality of interactions; filtering, by the processor, the plurality of fragments to generate a filtered plurality of fragments; clustering, by the processor, the filtered fragments into a plurality of base clusters; and clustering, by the processor, the plurality of base clusters into a plurality of hyper clusters.
Abstract translation: 用于检测和分类多个交互中的主题的方法包括：由处理器从多个交互中提取多个片段; 由所述处理器对所述多个片段进行过滤以产生经过滤的多个片段; 由处理器将经滤波的片段聚类成多个基本簇; 以及由所述处理器将所述多个基本簇聚类成多个超群集。
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公开(公告)号：US11025775B2
公开(公告)日：2021-06-01
申请号：US16567513
申请日：2019-09-11
Inventor： Tamir Tapuhi , Yochai Konig , Amir Lev-Tov , Avraham Faizakof , Yoni Lev
Abstract: A method for generating a dialogue tree for an automated self-help system of a contact center from a plurality of recorded interactions between customers and agents of the contact center includes: computing, by a processor, a plurality of feature vectors, each feature vector corresponding to one of the recorded interactions; computing, by the processor, similarities between pairs of the feature vectors; grouping, by the processor, similar feature vectors based on the computed similarities into groups of interactions; rating, by the processor, feature vectors within each group of interactions based on one or more criteria, wherein the criteria include at least one of interaction time, success rate, and customer satisfaction; and outputting, by the processor, a dialogue tree in accordance with the rated feature vectors for configuring the automated self-help system.
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公开(公告)号：US20180102126A1
公开(公告)日：2018-04-12
申请号：US15837980
申请日：2017-12-11
Inventor： Avraham Faizakof , Yoni Lev , Amir Lev-Tov , Yochai Konig
CPC classification number: G10L15/063 , G06F16/285 , G06F16/35 , G06F17/2755 , G06F17/2785 , G10L2015/0631 , G10L2015/223
Abstract: A method for detecting and categorizing topics in a plurality of interactions includes: extracting, by a processor, a plurality of fragments from the plurality of interactions; filtering, by the processor, the plurality of fragments to generate a filtered plurality of fragments; clustering, by the processor, the filtered fragments into a plurality of base clusters; and clustering, by the processor, the plurality of base clusters into a plurality of hyper clusters.
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