摘要
目前游戏行业推送现状完全依据大数据的精准分析使得推送机械化,产生不良用户体验。本文提出依据场景化的数据挖掘及推送过程的场景化,构建个性化推送的系统平台,并深入分析个性化推送平台的设计原则,为实现大数据时代的个性化推送提供新思路。"大数据"的不断发展将导致设计的细化,形成一个功能更强大,效率更高,范围更广,覆盖更广泛的用户个人关系管理中心,对用户资源进行整合、优化完善,进行价值转化。
The current status of the game industry push is entirely based on accurate analysis of large data to make push mechanization, resulting in poor user experience. We propose a system platform for personalized push based on scene data mining and the scene of push process and deeply analyzes the design principles, which provides a new way to realize individualized push in large data age. The continuous development of ＂Big Data＂ will lead to the refinement of the design to form a more powerful, efficient, wider, and more extensive user relationship management center, to integrate, optimize and transform the user resources.
出处
《设计》
2017年第2期132-134,共3页
Design
关键词
大数据
游戏
个性化
Data Game Personalization
