跨语言信息检索中的查询翻译方法研究

文章介绍了跨语言信息检索查询翻译的四种基本方法,并且对目前查询翻译过程中所遇到的问题及现阶段的研究进展进行了总结分析,最后总结出跨语言信息检索查询翻译未来的发展方向。     

Exploring the interrelationships between technological predictors and behavioral mediators in online tax filing: The moderating role of perceived risk

This study investigates the interrelationships between technological predictors and behavioral mediators in explaining users' continuance intention for online tax filing. Building on information systems (IS) success and IS continuance literature, this study proposes an extended conceptual framework by adding perceived functional benefit (PFB) as mediating, perceived risk as moderating, and demographic characteristics as control variables. The data collected, through a web-based survey, from 409 users of e-tax services in an emerging economy are analyzed through covariance-based structural equation modeling. Results confirm that PFB, confirmation of expectation, and satisfaction are the major antecedents of continuance intention for e-tax filing. The study also finds the evidence for the indirect effects of IS success factors on continuance intention through such antecedents. In addition, results suggest that the relationships between PFB and satisfaction as well as between PFB and continuance intention are contingent on the users' levels of perceived risk. The study concludes with the useful implications for academicians and policymakers in the context of an emerging economy.     

多Agent技术与分布式数字图书馆系统框架

多Agent系统对数字图书馆的建立 ,特别是在因特网这样的分布开放环境下建立数字图书馆具有重要意义。多Agent的分布式、主动性、智能性、反应性、适应性、移动性和合作性为数字图书馆提供了良好的理论与技术基础。图 1。参考文献 15。     

新媒体环境下大学生听书行为意向影响因素研究

[目的/意义] 以大学生有声书用户群体为对象,探究其听书行为意向影响因素,与图书馆界引入有声书资源或听书服务的理论设想相呼应,为高校图书馆开展听书信息服务提供实证参考。[方法/过程] 在整合式技术接受模型（UTAUT模型）基础上,结合大学生群体与有声书资源的特征,尝试性地引入感知成本、感知娱乐以及个人创新性三个听书行为意向影响因素,构建大学生听书行为意向影响因素模型,并通过问卷法收集相关数据,对该模型进行实证检验与修正。[结果/结论] 绩效期望、社群影响、便利条件、感知成本与个人创新性对大学生的听书行为意向有显著影响;努力期望与感知娱乐性对大学生的听书行为意向的显著影响未得到验证,作为调节变量的学生类型的作用也并未得到验证。最后,在研究假设验证结果基础上,修正原有的大学生听书行为意向影响模型。     

网络口碑对消费者图书购买意愿的影响效应研究

[目的/意义]以传播渠道为调节变量,探究网络口碑的传播者特性和传播内容特性对消费者图书购买意愿的影响机理,为图书出版行业相关主体进行口碑营销提供参考借鉴。[方法/过程]基于信息传播理论,以传播渠道为调节变量,构建网络口碑对消费者图书购买意愿影响的理论模型。通过问卷调查收集数据,使用回归分析方法厘清网络口碑与消费者图书购买意愿的关系,并实证检验相关因素的影响效应。[结果/结论]传播内容（信息）特性对消费者图书购买意愿具有直接的显著影响。传播者（信源）特性既存在对购买意愿的直接显著影响,也存在以传播内容特性为中介的间接显著影响。传播渠道（信道）的调节效应显著,其中对传播者特性与购买意愿的调节中,文化推广式平台的调节效应最大,其次为营销式平台,自由讨论式平台最小;对传播内容与购买意愿的调节中,文化推广式平台的调节效应仍然最大,自由讨论式平台略低,而营销式平台最小。最后,从传播内容的设计、名人效应的发挥和营销平台的选择与建设3个方面分别提出了建议。     

微信图书馆用户使用意愿影响因素实证研究

[目的/意义]调研中国高校学生对微信图书馆的使用意愿,探索影响用户使用微信图书馆的因素,以期为微信图书馆的发展和服务水平提升提供参考和建议。[方法/过程]在技术接受模型、整合型技术接受与使用模型和信息系统成功模型的基础上,建立一个理论模型,提出研究假设。以重庆大学微信图书馆用户为调查对象,采用问卷调查和结构方程建模的方法,对模型进行分析与验证。[结果/结论]社会影响和使用态度是影响用户使用微信图书馆的主要因素,感知易用性和感知有用性通过使用态度间接影响用户使用意愿,信息质量、系统质量和服务质量正向影响感知易用性和感知有用性,但是信息质量和服务质量对感知易用性的影响效果不显著。提出的服务改进建议,对于提升微信服务水平,具有一定的实践与指导意义。     

Precision prediction based on ranked list coherence

We introduce a statistical measure of the coherence of a list of documents called the clarity score. Starting with a document list ranked by the query-likelihood retrieval model, we demonstrate the score's relationship to query ambiguity with respect to the collection. We also show that the clarity score is correlated with the average precision of a query and lay the groundwork for useful predictions by discussing a method of setting decision thresholds automatically. We then show that passage-based clarity scores correlate with average-precision measures of ranked lists of passages, where a passage is judged relevant if it contains correct answer text, which extends the basic method to passage-based systems. Next, we introduce variants of document-based clarity scores to improve the robustness, applicability, and predictive ability of clarity scores. In particular, we introduce the ranked list clarity score that can be computed with only a ranked list of documents, and the weighted clarity score where query terms contribute more than other terms. Finally, we show an approach to predicting queries that perform poorly on query expansion that uses techniques expanding on the ideas presented earlier.

Regularizing query-based retrieval scores

We adapt the cluster hypothesis for score-based information retrieval by claiming that closely related documents should have similar scores. Given a retrieval from an arbitrary system, we describe an algorithm which directly optimizes this objective by adjusting retrieval scores so that topically related documents receive similar scores. We refer to this process as score regularization. Because score regularization operates on retrieval scores, regardless of their origin, we can apply the technique to arbitrary initial retrieval rankings. Document rankings derived from regularized scores, when compared to rankings derived from un-regularized scores, consistently and significantly result in improved performance given a variety of baseline retrieval algorithms. We also present several proofs demonstrating that regularization generalizes methods such as pseudo-relevance feedback, document expansion, and cluster-based retrieval. Because of these strong empirical and theoretical results, we argue for the adoption of score regularization as general design principle or post-processing step for information retrieval systems.

万维网信息检索客户端处理技术

传统的基于分类和关键词的检索方式难以满足万维网上高质量的检索需求。本文就如何提高万维网信息检索的质量,探讨在检索客户端的处理技术,包括自然语言理解、查询扩展、查询域修整、群集检索以及智能检索代理等。文中还提出了综合运用这些技术的一个万维网信息智能检索系统的原型。     

基于关联规则挖掘的查询扩展模型研究

为了将关联规则挖掘技术更好地应用于信息检索查询扩展，通过对基于关联规则挖掘的查询扩展模型的深入研究，归纳出4类共13种查询扩展模型，理论分析和实验比较各个查询扩展模型的检索性能，试图发现一些优秀的扩展模型。