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基于检索日志的检索词推荐研究
引用本文:边鹏,苏玉召.基于检索日志的检索词推荐研究[J].图书情报工作,2012,56(9):31-41.
作者姓名:边鹏  苏玉召
作者单位:中国科学院国家科学图书馆
摘    要:为了满足检索用户对推荐服务日益迫切的需求,结合检索词推荐需求研究推荐理论。基于三种典型推荐方法:基于内容的过滤、基于规则的过滤和基于协作的过滤,提出一种检索词的混合推荐方法,并基于检索日志构建一种“脱机预处理和挖掘、联机推荐”的检索词推荐模型。最后,在NSTL嵌入式系统上进行实证研究。基于检索日志数据,以简单检索方式下的检索词推荐为突破口,设计一套原型系统,验证检索词的推荐效果并在原型系统上检验一种改进的BWP方法的效果。

关 键 词:Web日志挖掘  推荐系统  个性化  最佳聚类数  
收稿时间:2012-01-11
修稿时间:2012-03-03

Research on the Recommendation of Retrieval Words Based on Retrieval Log
Bian Peng Su Yuzhao.Research on the Recommendation of Retrieval Words Based on Retrieval Log[J].Library and Information Service,2012,56(9):31-41.
Authors:Bian Peng Su Yuzhao
Institution:National Science Library, Chinese Academy of Sciences,
Abstract:Based on the theory research on the recommendation of information service, three typical recommendation methods are introduced into the recommendation of the retrieval words in order to meet users’ increasing and pressing demand. And a combined recommendation method is provided in this paper and a recommendation model of retrieval words based on the retrieval log is formed which is ‘preprocessing and mining off line, recommending on line’. At last, the lab is conducted on the NSTL(National Science and Technology Library) embedded resource services system. A prototype has been designed based on the retrieval log. This prototype aims on the simple retrieval recommendation, and has been proved good effect. In the meanwhile, the BWP method has been applied in the prototype system, which improved the automatic level of the prototype system. And this prototype also inspects the effect of an optimized BWP method.
Keywords:Web log mining recommendation system personalization optimal cluster number
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