WebRTC in the Contact Center

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WebRTC in the Contact Center

机译：联系中心中的WebRTC

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WebRTC in the contact center is the focus of the roundup in this issue of CUSTOMER magazine. WebRTC is a disruptive new technology being driven forward by none other than Google, among many others. Already, WebRTC is supported on more than 1 billion endpoints, says Google, and Disruptive Analysis expects that to grow to 3.9 billion by 2016.

机译：联络中心的WebRTC是本期《客户》杂志的摘要。 WebRTC是一项颠覆性的新技术，除其他外，Google一直在推动。 Google表示，已经有超过10亿个端点支持WebRTC，Disruptive Analysis预计到2016年，这一数字将增长到39亿。

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《Customer Inter@ction Solutions 》 |2014年第4期| 2426283032| 共5页
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专利

1. Contact centers could benefit from WebRTC [J] . TIM GREENE Network world . 2013 ,第5期

机译：联络中心可以从WebRTC中受益
2. WebRTC: Bridging the Gap Between Contact Centers & Websites [J] . Paula Bernier Customer Inter@ction Solutions . 2013 ,第6期

机译：WebRTC：缩小联络中心和网站之间的差距
3. Development and Evaluation of a Contact Center Application System to Integrate Multiple Communication Channels Using WEBRTC [J] . International Journal of Computer Networks & Communications . 2017 ,第3期

机译：使用WEBRTC集成多个通信渠道的联络中心应用系统的开发和评估
4. Improving customer service in South African contact centers: Lessons learn't from Australian contact centers [C] . Akande Akinlolu Olumide, Kuilman Nicholas, Hart Mike, 2014 IEEE 6th International Conference on Adaptive Science and Technology . 2014

机译：改善南非联络中心的客户服务：澳大利亚联络中心没有吸取教训
5. Developing partnerships to fund technology: Perceptions and practices of public school District Technology Contacts in the Education Service Center, Region XIII, Texas. [D] . Welch, Byron Eugene, II. 1995

机译：建立合作伙伴关系以资助技术：德克萨斯州第十三区教育服务中心的公立学校地区技术联系人的看法和做法。
6. Prediction of protein long-range contacts using an ensemble of genetic algorithm classifiers with sequence profile centers [O] . Peng Chen, Jinyan Li 2010

机译：使用具有序列轮廓中心的遗传算法分类器来预测蛋白质远程接触
7. Figure 1: Example of visualization of long range contacts for: (A) regions, here enhancer-promoter contacts, for two 10 kb resolution Hi-C maps from human Fetal Brain cells. Contacts were calculated up to 30 bins distance each way from the point of interest. Top to bottom: a Jbrowse (Skinner et al., 2009) screenshot with genes and interaction profile representation (points of interest in green, their contact predictions in yellow); HiCEnterprise interaction profile plot with intensities (weighted by distance) and −log10 of FDR corrected p-values (q-values) with a threshold set at 0.01. (B) TADs, here HiCEnterprise visualization for 150 kb resolution Hi-C map of 17th chromosome from HUVEC. Left upper trianle: original Hi-C map contact frequencies; right lower triangle: −log10 of q-values of the interdomain interactions calculated with hypergeometric distribution. [O] . -1

机译：图1：用于：（a）区域的长距离触点的可视化示例，这里增强了来自人胎儿脑细胞的两个10kb分辨率的Hi-C地图。从兴趣点计算联系人高达30个距离距离。顶部到底：jbrowse（Skinner等，2009）截图，具有基因和互动曲线表示（绿色兴趣点，它们的黄色接触预测）; HICENTERPLISE交互配置曲线图具有强度（由距离加权）和FDR校正的P值（Q值）的-LOG10，其阈值设置为0.01。（b）TADS，这里是来自Huvec的第17次染色体的150 KB分辨率Hi-C地图的Hicenterprise可视化。左上三角：原版Hi-C地图接触频率;右下三角形：跨度相互作用的Q值的-log10计算，使用超几何分布计算。

WebRTC in the Contact Center

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