An Educational Resource Retrieval Mechanism Based on Lucene and Topic Index

摘要：

　　In order to improve the retrieval performance in the educational resource database, this paper designs an retrieval mechanism called ERRM based on Lucene and topic index.Firstly, this paper introduces the full-text search engine-Lucene, and studies in depth its internal implementation.Then by the way of the topic index which is learned by the topic model, this paper researches how to successfully expand query semantics.Based on Lucene and topic index, this paper proposes a new retrieval mechanism for educational resources.After expanding the user query, the retrieval mechanism submits the enriched query condition to Lucene for full-text retrieval.The experimental results show that the proposed mechanism could obviously improve the retrieval performance and precision.

关键词： full-text retrieval topic index Lucene LDA model

作者: Xiaomei Chen Lizhen Xu

作者单位: School of Computer Science and Engineering Southeast University Nanjing, China

会议类型: 国际会议

会议名称: The 13th Web Information Systems and Applications Conference(第十三届全国web信息系统及其应用学术会议)(WISA2016)、The 1st Symposium on Big Data Processing and Analysis)( BDPA 2016)第一届全国大数据处理与分析学术研讨会、The 1st Workshop on Information System Security)(ISS2016)(第一届全国信息系统安全研讨会

会议地点: 武汉

会议语种:英文

页码: 125-128

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）