基于网页摘要分析的元搜索引擎研究*

针对目前搜索引擎返回结果的海量性，构建一个元搜索引擎，旨在高效利用多个成员搜索引擎返回的结果。介绍元搜索引擎的基本架构及当前结果融合的主要方法，应用统计学方法研究网页标题、网页摘要与网页文本之间的相关性关系，从而确定相关度权值进行结果相关性判断。实验证明，元搜索引擎搜索结果的平均准确率比各个成员引擎的搜索结果平均准确率都有较大提高。     

民办高校图书馆学生读者阅读期刊的特点及其引导

民办高校图书馆必须深入把握学生读者阅读期刊的特点，有针对性地对学生读者的期刊阅读进行指导，以发挥期刊在大学生综合素质提高上的作用．     

Can constrained relevance feedback and display strategies help users retrieve items on mobile devices?

Searching online information resources using mobile devices is affected by small screens which can display only a fraction of ranked search results. In this paper we investigate whether the search effort can be reduced by means of a simple user feedback: for a screenful of search results the user is encouraged to indicate a single most relevant document. In our approach we exploit the fact that, for small display sizes and limited user actions, we can construct a user decision tree representing all possible outcomes of the user interaction with the system. Examining the trees we can compute an upper limit on relevance feedback performance. In this study we consider three standard feedback algorithms: Rocchio, Robertson/Sparck-Jones (RSJ) and a Bayesian algorithm. We evaluate them in conjunction with two strategies for presenting search results: a document ranking that attempts to maximize information gain from the user’s choices and the top-D ranked documents. Experimental results indicate that for RSJ feedback which involves an explicit feature selection policy, the greedy top-D display is more appropriate. For the other two algorithms, the exploratory display that maximizes information gain produces better results. We conducted a user study to compare the performance of the relevance feedback methods with real users and compare the results with the findings from the tree analysis. This comparison between the simulations and real user behaviour indicates that the Bayesian algorithm, coupled with the sampled display, is the most effective. Extended version of “Evaluating Relevance Feedback Algorithms for Searching on Small Displays, ” Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Ken Wood published in the proceedings of ECIR 2005, David E. Losada, Juan M. Fernández-Luna (Eds.), Springer 2005, ISBN 3-540-25295-9     

活用8086/8088汇编语言指令

以 8 0 86/ 80 88汇编语言为例 ,通过两个程序的介绍 ,加以比较、分析 ,指出对汇编语言的理解与应用不能简单只留在指令的字面意义上 ,应清楚指令的实际执行的情况     

关联理论与跨文化交际会话含义的理解

Sperber ＆ wilson的关联理论将交际看作一种认知活动,试图从人的认知特点和过程山发,揭示交际规律.关联理论使跨文化交际中的语用会话含意推导摆脱了Grice合作原则的束缚,也从认知的角度探讨了礼貌现象,为跨文化交际中话语的理解提供了新的理论依据,有助于解释跨文化语言交际活动中出现的语用失误与交际失败现象.     

语用模糊的认知分析

语用模糊就是交际过程中的交际参与者对意义的表述或者解释不确定的种种现象。文章从认知视角,用关联理论(Relevance Theory)和空间复合理论(Space Blending Theory)对语用模糊现象进行分析探讨,以解释言语交际中出现的语用模糊的认知心理过程。     

连云港市大学生创业需求情况的调查与思考

大学生创业,不仅是一种尝试,也是一种趋势。通过调查表明:连云港市大学生对有关的创业政策了解较少,缺乏相关知识的准备,急需创业指导。因此,连云港市高校应在思想教育、课程建设等方面加强大学生的创业教育。     

A review of ontology based query expansion

This paper examines the meaning of context in relation to ontology based query expansion and contains a review of query expansion approaches. The various query expansion approaches include relevance feedback, corpus dependent knowledge models and corpus independent knowledge models. Case studies detailing query expansion using domain-specific and domain-independent ontologies are also included. The penultimate section attempts to synthesise the information obtained from the review and provide success factors in using an ontology for query expansion. Finally the area of further research in applying context from an ontology to query expansion within a newswire domain is described.     

关联理论及关联翻译理论在口译中的应用探析

口译是一种跨语言、跨文化的动态的双语交际活动.利用关联理论及关联翻译理论的强大解释力阐述口译的过程,分析译员在口译过程中讲话者和受话者的双重角色,并进一步针对译员如何成功塑造其双重角色及改善自身认知环境提出一些有效的建议,如必要的口译预期,谙习文化差异,积累图式知识等,从而使译员能够较充分地发挥其在口译活动中的主观能动作用,这对译员成功地完成口译交际活动将起到积极作用.     

直接翻译还是间接翻译——从关联理论角度分析动画片《海绵宝宝》的翻译

以美国动画片《海绵宝宝》的翻译为例,从关联理论角度出发,重点讨论了《海绵宝宝》的汉语翻译在获得最佳关联方面的成功与失败之处以及直接翻译和间接翻译的应用,从而阐述关联理论对动画片翻译的解释力。