构建基于用户及影视知识图谱的IPTV智能推荐算法——以河北广电为例

Construction of IPTV Intelligent Recommendation Algorithm Based on User and Film Knowledge Graph:Take Hebei Radio and Television Station as an Example

IPTV即交互式网络电视。当前,IPTV已成为体量最大的新媒体电视平台以及广播电视运营的主要形态。大数据技术通过用户数据管理和用户行为分析,使得IPTV精准匹配海量内容和用户需求成为可能。而在业务量迅猛增长的同时,IPTV运营平台凸显出对大数据统一管理和运营能力的不足。基于此,以河北广播电视台(简称河北广电)为例,研究其在IPTV运维中建立的基于用户及影视知识图谱的IPTV智能推荐算法。河北广电利用大数据模型算法赋能编排运营,实现用户增长和运营增收,其经验值得推广。

IPTV is Internet protocol television.At present,IPTV has become the largest new media television platform and the main form of radio and television operation.Big data technology makes it possible for IPTV to accurately match massive content and user needs through user data management and user behavior analysis.With the rapid growth of business volume,IPTV operation platform highlights the lack of unified management and operation ability of big data.Based on this,taking Hebei radio and television station as an example,this paper studies the IPTV intelligent recommendation algorithm based on user and film knowledge map established in IPTV operation and maintenance.Hebei radio and television use big data model algorithm to enable the scheduling of operations,to achieve user growth and operating income,its experience is worth promoting.