个性化跨语言学术搜索技术研究

学术搜索引擎是一种行业化的搜索引擎,但因其缺乏个性化的服务,使得用户的学术文献检索效率低下,海量的数字学术资源得不到充分利用.本文使用Google翻译,研究基于机器翻译的中、英、俄、法和西班牙等五个语种跨语言学术检索.在跨语言学术搜索的基础上研究个性化检索技术,提出一种基于聚类的个性化信息检索方法:通过观察用户对搜索结果聚类的点击行为,生成并更新用户实时兴趣模型,采用余弦夹角公式计算用户实时兴趣模型与搜索返回结果的相似度,根据相似度大小,为用户提供个性化重排序的搜索返回结果.实验结果证明了提出方法的有效性.     

课题组专用文献检索系统设计与实现

众多的课题组都积累了大量的自己领域的珍贵的专用文献,由于形式多样导致文献分散凌乱、重复率高、共享性差。文章为此设计了一套文献资源专用存储及检索系统,利用网络实现多人共享。     

基于毕业论文开题报告的文献信息检索课教学

文章对基于毕业论文开题报告的文献信息检索课教学方法切入的理论依据、课程教学内容的组织实施及效用进行了深入的探讨,为提高文献信息检索课教学效果提供实践和理论借鉴。     

云检索系统的要素分析和结构研究

云检索系统是利用云计算的理念,对现有检索系统的一种改进。文章从云检索系统的理念设计着手,对云检索系统的概念、研究内容、系统要素等进行界定。利用系统分析和综合的方法,从狭义和广义两个角度构造了云检索的系统结构图,对结构图中的主要模块分别进行了介绍,指出系统结构图对云检索研究的意义,展望了云检索的研究方向。     

Enhancing query translation with relevance feedback in translingual information retrieval

As an effective technique for improving retrieval effectiveness, relevance feedback (RF) has been widely studied in both monolingual and translingual information retrieval (TLIR). The studies of RF in TLIR have been focused on query expansion (QE), in which queries are reformulated before and/or after they are translated. However, RF in TLIR actually not only can help select better query terms, but also can enhance query translation by adjusting translation probabilities and even resolving some out-of-vocabulary terms. In this paper, we propose a novel relevance feedback method called translation enhancement (TE), which uses the extracted translation relationships from relevant documents to revise the translation probabilities of query terms and to identify extra available translation alternatives so that the translated queries are more tuned to the current search. We studied TE using pseudo-relevance feedback (PRF) and interactive relevance feedback (IRF). Our results show that TE can significantly improve TLIR with both types of relevance feedback methods, and that the improvement is comparable to that of query expansion. More importantly, the effects of translation enhancement and query expansion are complementary. Their integration can produce further improvement, and makes TLIR more robust for a variety of queries.     

A relational vector space model using an advanced weighting scheme for image retrieval

In this paper, we lay out a relational approach for indexing and retrieving photographs from a collection. The increase of digital image acquisition devices, combined with the growth of the World Wide Web, requires the development of information retrieval (IR) models and systems that provide fast access to images searched by users in databases. The aim of our work is to develop an IR model suited to images, integrating rich semantics for representing this visual data and user queries, which can also be applied to large corpora.     

Managing misspelled queries in IR applications

Our work concerns the design of robust information retrieval environments that can successfully handle queries containing misspelled words. Our aim is to perform a comparative analysis of the efficacy of two possible strategies that can be adopted.     

应用于钱塘江、太湖流域面雨量预报的MM5产品释用技术

在2007～2009年浙江省气象台钱塘江、太湖流域面雨量24 h、48 h预报的基础之上,开展了面雨量释用研究,采用的方法为对数线性释用方法,释用后预报可信度明显增加.本文对面雨量的模糊评分方法做了改进,使之更具有实际可操作性.试验证明,用绝对误差和改进的模糊评分两种办法结合起来对面雨量预报做检验,能够较客观的反映预报...     

余姚及附近地区断裂构造的遥感解译

遥感图像不仅可从宏观上展现活动断裂与其它活动构造的影像全貌,而且可直观地揭示活动断裂的影像信息,为分析断裂的活动状态及其与地震活动的相关性提供丰富的信息。本文通过对余姚及附近地区断裂构造进行遥感解译,解译了北东、北西及东西向断裂共计32条,之后对这些断裂中的主要断裂进行了野外验证,证实了解译结果的准确性,为余姚市城市活断裂探测工作提供了有利的依据。     

关于开设本科生科技文献检索课的探讨

分析了科技文献检索的意义,就开设该课程的时间安排、教学大纲制定、教材选取、教学方法和考核方式等问题进行了探讨。