用户查询中潜在时间意图分析及其检索建模     

张晓娟  陆伟  周红霞 《现代图书情报技术》2011,(11)

基于Sogou实验室提供的查询日志数据和新闻数据,探讨潜在时间意图查询的判断及其相关时间属性识别,构建潜在时间意图查询的检索排序模型。实验结果表明,时间属性识别的准确率为85%,且构建的检索模型能有效提高排序效果。  相似文献   

移动计算中概率数据集成的Top-k算法     

潘林  齐庆芳 《德州学院学报》2014,(6):63-67

基于一个给定的移动计算场景,讨论了模式映射的概率和相关的查询回答算法,并且描述了一个分布式的Top-k算法.  相似文献   

问题与策略:我国省级综合档案馆微信公众号移动服务研究     

孙大东  李真儿 《档案管理》2021,(2):100-102

由于具有互动营销功能,微信可作为档案移动服务平台建设的重要选择之一。本文以《档案移动服务平台建设指南》为依据,采用网络调查法调查了我国省级综合档案馆微信公众号开展档案查询、档案展厅、档案资讯、互动交流等移动服务的现状,在此基础上分析了其中存在的问题,并以部分优秀微信公众号和移动服务平台为例提出了相应的优化策略。  相似文献   

抑郁情绪来访者的案例概念化个案研究     

吴九君 《海南广播电视大学学报》2014,(1):151-153,158

通过对一例抑郁情绪来访者的案例概念化咨询,检视案例概念化对于抑郁情绪来访者的干预效果。应用Blackburn,James和Flitcroft提出的压力特异质模型制订一例抑郁情绪认知行为咨询的案例概念化咨询方案。按照案例概念化流程和要求将个案内容以模式图形式呈现给来访者,并根据每一部分具体问题按照相对应咨询方法进行干预。综合评价结果显示,来访者抑郁情绪减轻,生活向积极方向转化。  相似文献   

关于《七月》之作者问题     

力之 《钦州学院学报》2002,17(3):5-10

金履祥“安有去之七百岁而言情、状物如此之详 ,若身亲见之者 ?”姚际恒“周公去公刘之世已远 ,岂能代写其人民风俗至于如是之详且悉耶 ?”崔述“且玩此诗醇古朴茂 ,与成、康时诗皆不类” ,方玉润“非躬亲陇亩久于其道者 ,不能言之亲切有味也如是。周公生长世胄 ,位居冢宰 ,岂暇为此 ?”等种种否定或怀疑《七月》为周公作之理由 ,均似是而非 ;至于近代以来之“奴隶 (农奴 )作”及“小奴隶主作”等说 ,更近乎凭虚。《七月》为周公作 ,当无所疑  相似文献   

船型论证中的随机仿真与优化     

周强 《上海海事大学学报》1991,(1)

随机性是运输系统的主要特性之一。但是,过去由于随机系统的优化手段不够成熟,计算量相当大,因此,在实际优化过程中不得不作了许多简化与假设。这样对最后所得到的优化结果的准确性与可靠性会产生一定的不利影响。本文结合受随机干扰影响的船型论证工作,介绍了一种连续型随机系统优化算法——随机逼近法SAM,它比传统的建立在均值处理基础上的仿真优化算法——直接搜索法DSM,无论在运算速度还是计算准确性等方面均有显著的优越性,也比通常只能逐个分析处理备选方案而不能得出最优解的不确定性分析与风险分析方法更方便,有效和全面。  相似文献   

船型方案的风险性模糊分析     

薛茂根  陈恩华 《上海海事大学学报》1994,(4)

以传统的船型技术经济论证过程中的敏感性分析为基础，定义了度量营运经济参数对经济指标敏感程度的敏感度，分析了方案风险度与敏感度的关系，并给出了应用实例。这一方法为船舶可行方菜的风险度提出量的依据，促进了方案风险度估计的合理化和科学化。  相似文献   

Mobile Agents for Distributed and Heterogeneous Information Retrieval   总被引：1，自引：0，他引：1  

Subrata?DasEmail author  Kurt?Shuster  Curt?Wu  Igor?Levit 《Information Retrieval》2005,8(3):383-416

The heterogeneous, distributed and voluminous nature of many government and corporate data sources impose severe constraints on meeting the diverse requirements of users who analyze the data. Additionally, communication bandwidth limitations, time constraints, and multiple data formats impose further restrictions on users of these distributed data sources. In this paper, we present an Agent-based Complex QUerying and Information Retrieval Engine (ACQUIRE) for large, heterogeneous, and distributed data sources. ACQUIRE acts as a softbot or interface agent by presenting users with a view of a single, unified, homogenous data source, against which users can pose high-level declarative queries. ACQUIRE translates each such user query into a set of sub-queries by employing a combination of planning and traditional database query optimization techniques. ACQUIRE then spawns a set of mobile agents corresponding to these sub-queries, which in turn retrieve the data from various distributed data sources by dynamically optimizing the retrieval strategy as it is carried out. These mobile agents carry with them data-processing code that can be executed at the remote site, thus reducing the size of data returned by the agent. When all mobile agents have returned, ACQUIRE filters and merges the retrieved data and presents the results to the user. While the system is still very much a work in progress, current validation experiments on simulated NASA Distributed Active Archive Centers (DAACs) have demonstrated that complex queries can be effectively decomposed and retrieved by this approach.  相似文献   

Learning regional transliteration variants     

Jin-Shea Kuo  Haizhou Li 《Information processing & management》2012,48(1):154-169

This paper conducts an inquiry into regional transliteration variants across Chinese speaking regions. We begin by studying the social association of regional transliterations, followed by postulating a computational model for effective transliteration extraction from the Web. In the computational model, we first propose constraint-based exploration by incorporating transliteration knowledge from transliteration modeling and predictive query suggestions from search engines into query formulation as constraints so as to increase the chance of desired transliteration returns in learning regional transliteration variants. Then, we study a cross-training algorithm, which explores the attainably helpful information of transliteration mappings across related regional corpora for the learning of transliteration models, to improve the overall extraction performance. The experimental results show that the proposed method not only effectively harvests a lexicon of regional transliteration variants but also mitigates the need of manual data labeling for transliteration modeling. We also carry out an investigation into the underlying characteristics of regional transliterations that motivate the cross-training algorithm.  相似文献   

Efficient probabilistic XML query processing using an extended labeling scheme and a lightweight index     

Jung-Hee Yun  Chin-Wan Chung 《Information processing & management》2012

Recently there is a growing interest in the data model and query processing for probabilistic XML data. There are many potential applications of probabilistic data, and the XML data model is suitable to represent hierarchical information and data uncertainty of different levels naturally. However, the previously proposed probabilistic XML data models and query processing techniques separate finding data matches with evaluating the probabilities of results. Therefore, they should repeatedly access the data and need to get full data of paths given in queries to calculate the probabilities of results.  相似文献