智能推荐系统在个性化数据挖掘中的应用研究

Application of Intelligent Recommendation System in personalized data mining

现今家庭数字化已经是大势所趋,网络信息技术也已然融入到了我国的千家万户中,进而推进大数据时代的到来。在当今时代背景下,如何在海量的信息中为用户筛选出具有个性化、智能化的数据不仅是当前推荐系统所要攻克的重要难题,实质也是其发展机遇。智能推荐系统兴起不久,乃是一项新兴科技,该类系统能够智能化地分析用户的个人信息、行为偏好与社会关系等因素,并有效为用户推荐出合适的数据。鉴于此,本文将基于协同信息筛选技术,并结合个性化数据挖掘技术,构建研究一个智能推荐系统,相信对于智能推荐系统的进一步普及与发展具有一定积极作用。

today's digital family is the trend of the times,and network information technology has also been integrated into the thousands of households in China,and then the arrival of the era of big data.In the present era,how to screen out personalized and intelligent data for users in mass information is not only an important challenge for the current recommendation system,but also its development opportunity.Soon,intelligent recommendation system is a new technology.This kind of system can analyze the user's personal information,behavior preference and social relations intelligently,and effectively recommend appropriate data for the user.In view of this,this paper will be based on collaborative information screening technology and combine personalized data mining technology to build an intelligent recommendation system,which is believed to have a positive role in the further popularization and development of intelligent recommendation system.