摘要
通过主题提取进行海洋信息词典的构建,利用已有的向量空间模型进行海洋信息相关度计算,设计了成员引擎的调度方法,并结合主题相关度和邻居协同推荐算法对结果综合排序,搭建了一个面向海洋信息的个性化元搜索引擎。减少了搜索结果的信息量,提高了信息搜索的准确率。
The marine information dictionary is constructed through the subject words extracting.The marine-information-related degree is computed by using the space vector algorithm. The scheduling of single search engines is designed. A new personalized rank method based on both subject related degree and a collaborative recommendation algorithm is proposed. Finally, an personalized meta search engine oriented the marine-information is set up. The amount of information search results is reduced and the accuracyof professional information search is improved.
作者
吴远红
张建科
WU Yuan-hong,ZHANG Jian-ke (School of Mathematics, physics & Information Science ,Zhejiang Ocean University, Zhoushan 316004, China)
出处
《电脑知识与技术》
2010年第7期5207-5208,共2页
Computer Knowledge and Technology
基金
浙江省教育厅项目(Y200908579)资助
关键词
元搜索引擎
主题
协同推荐
结果融合
个性化
meta-search engines
subject
collaborative filtering
result merging
personality