神盾防投诉-催收场景

基于电话邦自有陌电识别数据，通过分析用户的接听意愿，基础属性、场景属性和行为属性等维度，利用先进算法与机器学习能力，达到过滤高风险、高敏感、低意向号码，实现号码高频拦截、实时级别调整,并保持数据的实时动态更新，最终帮助机构在催收外呼场景降低客户投诉。

Built upon the proprietary cold call identification data of PhoneBang, this dataset analyzes dimensions including users' answering willingness, basic attributes, scenario attributes and behavioral attributes. Leveraging advanced algorithms and machine learning capabilities, it filters high-risk, high-sensitivity and low-intent phone numbers, enables frequent number blocking and real-time level adjustment, maintains real-time dynamic data updates, and ultimately assists institutions in reducing customer complaints during debt collection outbound call scenarios.

搜集汇总

背景与挑战

背景概述

该数据集利用电话邦陌电识别数据，通过分析用户接听意愿、属性和行为特征，结合机器学习算法实现高风险号码过滤和实时更新，旨在降低催收外呼场景的客户投诉率。