发明名称 |
DIALOGUE FLOW OPTIMIZATION AND PERSONALIZATION |
摘要 |
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. |
申请公布号 |
US2017118336(A1) |
申请公布日期 |
2017.04.27 |
申请号 |
US201514919675 |
申请日期 |
2015.10.21 |
申请人 |
GENESYS TELECOMMUNICATIONS LABORATORIES, INC. |
发明人 |
Tapuhi Tamir;Konig Yochai;Lev-Tov Amir;Faizakof Avraham;Lev Yoni |
分类号 |
H04M3/493;G06F17/27;G10L15/26;H04M3/527;H04M3/51 |
主分类号 |
H04M3/493 |
代理机构 |
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代理人 |
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主权项 |
1. 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, the method comprising:
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. |
地址 |
Daly City CA US |