基于本体的个性化推荐系统研究与实现

Research And Implementation Of Personalized Recommendation System Based on Ontology

在大数据、云计算、数据挖掘、人工智能等现代网络技术的飞速发展的科技背景之下,公共文化服务平台的建设缺乏互联网新技术的应用,网站服务不够便捷,不能更好的把握用户需求,不能为公众提供更优质的的公共文化服务。尤其是,当前公共文化服务平台的建设缺乏对个性化服务的集成,不能有效的满足用户的个性化需求。针对此问题,该文提出在公共文化服务集成平台中集成协同过滤技术为用户提供个性化活动推荐,同时基于知识本体,利用本体在语义查询扩展方面的优势为用户提供当前浏览活动相关的文化资料推荐。

In big data, cloud computing, data mining, artificial intelligence and modern network technology the rapid development of science and technology under the background of application, the construction of public cultural service platform for the lack of new technology of the Internet, web service is not convenient, can better grasp of user needs, can provide better public cultural services for the public. In particular, the current construction of public cultural service platform lacks the integration of personalized services, and can not effectively meet the user＇s personalized needs. Therefore, to solve this problem, this paper proposes integrated collaborative filtering recommendation to provide users with personalized activities in public cultural service integration platform Based on knowledge, ontology, semantic query expansion in the advantage of providing the information related to the current browsing activities for users to recommend the use of ontology.