移动通信
移動通信
이동통신
MOBILE COMMUNICATIONS
2014年
22期
80-84
,共5页
数据套餐推荐%数据流量需求预测%数学建模%数据流量经营
數據套餐推薦%數據流量需求預測%數學建模%數據流量經營
수거투찬추천%수거류량수구예측%수학건모%수거류량경영
recommended data traffic combo%demands on data traffic%prediction mathematical modeling%data business
对东莞移动数据套餐的现状进行了分析，通过离散型系统建模方法，建立了用户数据流量需求预测模型、单个标准月套餐推荐模型以及基于标准月套餐和叠加套餐的推荐模型，并设计了相关的数据结构和算法。实施推荐后，数据流量经营指标显著提升，投诉指标明显改善。
對東莞移動數據套餐的現狀進行瞭分析，通過離散型繫統建模方法，建立瞭用戶數據流量需求預測模型、單箇標準月套餐推薦模型以及基于標準月套餐和疊加套餐的推薦模型，併設計瞭相關的數據結構和算法。實施推薦後，數據流量經營指標顯著提升，投訴指標明顯改善。
대동완이동수거투찬적현상진행료분석，통과리산형계통건모방법，건립료용호수거류량수구예측모형、단개표준월투찬추천모형이급기우표준월투찬화첩가투찬적추천모형，병설계료상관적수거결구화산법。실시추천후，수거류량경영지표현저제승，투소지표명현개선。
This paper firstly analyzes the current status of data traffic combo in Dongguan branch of China Mobile, as well as builds the prediction model of user data traffic demands, the recommended combo model of single month and the recommended model of superposed combos through discrete system modeling. Then, related data structures and algorithms are designed. Through implementing the recommended models, operating indicators of data traffic are highly enhanced and complaints indicators are significantly improved.
