IPTV智能推荐系统的设计与研究

发布时间：2018-01-08 12:15

本文关键词：IPTV智能推荐系统的设计与研究　出处：《华南理工大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着信息技术和互联网的不断发展,人们逐渐从信息匮乏的时代走入信息过载的时代。作为新媒体行业突出代表的IPTV(交互式网络电视)由于其人性化的交互和实时性的体验,逐渐使用户从后仰式观看习惯变成前倾式观看习惯。作为IPTV的从业人员,如何有效利用大数据分析的结果,让平台内的信息脱颖而出,受到用户的关注;如何使用户从大量信息中获取其感兴趣的信息,为用户提供高品质的个性化服务,是本文的主要研究方向。本研究深入分析新媒体环境下智能推荐的相关应用平台,通过对IPTV平台上的产品相关数据统计、用户行为数据统计以及付费产品数据统计等需求的研究,探索智能推荐系统的创新设计与实现。首先针对智能推荐数据的结构提出设计方案,利用搜索引擎通过网络快速响应客户端的搜索请求,以实现用户对于节目、回看、入口以及信息关联等内容的搜索服务。然后,基于对平台最重要的用户行为数据,利用微软公司的SSIS去设计数据采集程序并对数据进行分析和处理;同时应用ASP.NET技术,将分析产生的结果,利用网页呈现出来,有利于推荐系统下一步工作的实现。最后通过多种算法模型,实现在终端对用户进行智能推荐,同时解决推荐系统中的冷启动问题。通过实际业务环境的应用验证,证实设计的正确性和有效性。本文的研究可为IPTV平台的管理层提供准确的数据分析,为管理者的决策提供充分的数据支持;同时为用户提供高品质的个性化服务提供强有力支撑。
[Abstract]:With the continuous development of information technology and the Internet. As a prominent representative of the new media industry, IPTV (interactive network television) is experiencing its humanized interaction and real-time experience. As IPTV practitioners, how to effectively use the results of big data analysis, so that the information in the platform stand out, and get the attention of users; How to make users get interesting information from a large number of information, and provide users with high-quality personalized services. This research is the main research direction of this paper. This research deeply analyzes the intelligent recommendation application platform under the new media environment, through the product related data statistics on the IPTV platform. In order to explore the innovative design and implementation of intelligent recommendation system, this paper proposes a design scheme for the structure of intelligent recommendation data, which is based on the research of user behavior data statistics and payment product data statistics. The search engine is used to quickly respond to the client's search request through the network, so as to realize the user's search service for the program, the back view, the entrance and the information association and so on. Based on the most important user behavior data of the platform, the SSIS of Microsoft is used to design the data acquisition program and analyze and process the data. At the same time, the application of ASP.NET technology, the results of the analysis, the use of web pages presented, is conducive to the implementation of the next step of the recommendation system. Finally, through a variety of algorithm models. Realize the intelligent recommendation to the user in the terminal, at the same time solve the cold start problem in the recommendation system. Through the application verification of the actual business environment. The research in this paper can provide accurate data analysis for the management of IPTV platform and provide sufficient data support for managers' decision-making. At the same time to provide users with high-quality personalized services to provide strong support.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP391.3

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