摘要
传统的推荐算法具有各自的局限性,单纯依靠单一的算法作为推荐,严重影响了推荐系统的质量和效率。针对该问题,采用基于协同过滤推荐和关联规则推荐相结合的混和推荐技术来实现推荐系统,实验结果表明,混合推荐系统确实提高资源推荐的精度和覆盖率。
The traditional recommendation algorithm has its own limitation,so that the quality and efficiency of the recommended system will be affected seriously by relying on a single algorithm.In order to solve this problem,this paper adopts the hybrid recommendation technology based on cooperative filtering recommendation and association rules recommendation to realize the recommendation system.The experimental results show that the hybrid recommendation system can improve the accuracy and coverage of resources recommendation.
出处
《中国矿业》
北大核心
2017年第S1期425-430,共6页
China Mining Magazine
基金
国土资源部公益性行业科研专项项目资助(编号:201511079)
国家重点研发计划"基于‘地质云’平台的深部找矿知识挖掘"资助(编号:2016YFC0600510)
关键词
混合推荐
协同过滤推荐
关联推荐
图书推荐
mixed recommendation
collaborative filtering recommendation
association recommendation
book recommendation
