There are three steps in building a personalized search engine system collecting users’ information; refreshing database automatically and realizing personalized retrieval utilizing collected information. For each step, this paper creatively promots method of tracing user behavior based on Ajax, strategy of refreshing action-database by session and personalized retrieval model based on VSM and plusy user document. Finally it describes the design and implementation of whole testing personalized system.
李蕾,周国民 . 一种个性化搜索引擎系统*[J]. 现代图书情报技术, 2007, 2(1): 81-85.
Li Lei,Zhou Guomin . A Personalized Search Engine System. New Technology of Library and Information Service, 2007, 2(1): 81-85.
1樊景超,周国民. SDD算法在中文农业网页信息检索的应用.农业网络信息, 2005 (11):129-131
2Crane D, Pascarello E, James D. Ajax 实战.北京: 人民邮电出版社, 2006.2-11
3张元馨,赵仲孟,沈钧毅.一种基于向量空间模型的个性化搜索引擎研究.微电子学与计算机, 2003, 20(11):52-55
4周国民,秋耘,郑彦妍,曾支连,樊景超.基于SDD算法的特定网页采集技术.第一届全国信息检索与内容安全学术会议论文集.上海, 2004.87-91
5Kolda T G, O’Leary D P. A Semidiscrete decomposition for latent semantic indexing in information retrieval. ACM Trans. Inf. Syst, 1998(16):322-346