摘要
大数据时代,海量资源给用户快速从浩瀚的资源中获取所需信息带来了难题,个性化推荐系统的市场需求越来越大。案例推理技术在个性化推荐系统中的应用还很少,因此,提出了基于案例推理的个性化推荐系统数据源建设方案。分析了数据源的组成,建成了包括用户案例库和知识库的个性化推荐系统数据源,为案例推理提供了一定的基础数据。系统研究结果表明,数据源建设对系统推荐结果个性化程度的质量具有重要意义。
In the era of big data, a puzzle has been brought to users to get the information which they needed from the massive resources quickly. The market demand of personal recom- mender system is increasing. The application of case-based reasoning technology in personal recommender system is very little. Thus, the construction scheme of data source for personal- ized recommender system based on case-based reasoning is proposed. The composition of data sources are analyzed. The data source of personal recommender is build, including user case base and knowledge base of personalized recommender system, some basic data is provided by it. Research results show that data source construction have important implications for quality of the recommend results of system.
出处
《河北省科学院学报》
CAS
2017年第1期8-13,共6页
Journal of The Hebei Academy of Sciences
基金
河北省科技计划项目(15454704D)
关键词
个性化推荐系统
数据源
案例推理
案例库
知识库
Personal recommender system （PRS）
Data source
Case-based reasoning
Casebase
Knowledge base
