厦门人才网分布式全文检索与推荐系统设计

Design of a Distributed Full-Text Retrieval and Recommendation System in Xiamen Human Resource Network

基于Lucene.Net框架,利用.Net Remoting技术,结合多种数据挖掘和推荐算法构建面向大规模文本数据的厦门人才网分布式全文检索与推荐系统.提出把大索引切割成小索引,采用多台服务器并行处理的分布式解决方案,完成招聘企业、职位、应聘人员信息的整合与聚集,实现信息的智能推荐.实验结果表明,本系统取得了较高的索引效率、较快的检索速度以及较为精准的推荐结果,并在实际应用中取得了良好的效果.

A distributed full-text retrieval and recommendation system in Xiamen Human Resource Network is constructed, using Lucene . Net framework and .Net Remoting technology and a variety of data mining and recommendation algorithms. A solution that cuts the index into smaller components and uses multiple servers for parallel processing was proposed and applied. Information was integrated and assembled for recruiter companies, positions and candidates, and intelligent recommendation was therefore made possible. Experiments and application have shown that the system has achieved a high indexing and retrieving efficiency and more accurate recommendation results.