论文部分内容阅读
在线棋牌游戏拥有巨大用户群,一方面是由于棋牌游戏拥有良好的群众基础,早已成为日常休闲的重要选择之一;另一方面,在线棋牌游戏对资源要求较少,可以为各种媒介所承载,使用和访问门槛较低。保证用户体验质量,提高用户黏性是在线棋牌游戏运营商密切关注的问题。主要工作集中在提供性能较高、使用友好的对弈平台,和用户喜好智能分析识别引擎。前者在于提高用户的操作和视觉快感;后者在于针对性推荐对弈智能算法(包括在线对弈人员的配对)。本文旨在给出一种基于大数据的用户水平快速识别算法,并以西洋跳棋为例分析该算法实现的可能性和有效性。
Online chess games have a huge user base. On the one hand, chess games have become one of the important choices for daily leisure because chess games have a good mass foundation. On the other hand, online chess games have less resources and can be carried by various media Lower barriers to access and access. Ensuring the quality of user experience and improving the user’s stickiness are issues that the online game operator pays close attention to. The main work focused on providing higher performance, user-friendly chess platform, and user preferences intelligent analysis and recognition engine. The former is to improve the user’s operation and visual pleasure; the latter is targeted at the recommendation of intelligent game algorithm (including the online game player pairing). The purpose of this paper is to provide a rapid user level recognition algorithm based on big data, and to analyze the possibility and effectiveness of the algorithm by using checkers as an example.