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71.
Think tanks have been proved helpful for decision-making in various communities. However, collecting information manually for think tank construction implies too much time and labor cost as well as inevitable subjectivity. A probable solution is to retrieve webpages of renowned experts and institutes similar to a given example, denoted as query by webpage (QBW). Considering users’ searching behaviors, a novel QBW model based on webpages’ visual and textual features is proposed. Specifically, a visual feature extraction module based on pre-trained neural networks and a heuristic pooling scheme is proposed, which bridges the gap that existing extractors fail to extract snapshots’ high-level features and are sensitive to the noise effect brought by images. Moreover, a textual feature extraction module is proposed to represent textual content in both term and topic grains, while most existing extractors merely focus on the term grain. In addition, a series of similarity metrics are proposed, including a textual similarity metric based on feature bootstrapping to improve model’s robustness and an adaptive weighting scheme to balance the effect of different types of features. The proposed QBW model is evaluated on expert and institute introduction retrieval tasks in academic and medical scenarios, in which the average value of MAP has been improved by 10% compared to existing baselines. Practically, useful insights can be derived from this study for various applications involved with webpage retrieval besides think tank construction.  相似文献   
72.
拟从史实的角度、参撷相关文献对袁行霈先生主编的《中国文学史》第一卷中的几处表述提出质疑,并进一步就现行关于《论语》的界说提出意见。  相似文献   
73.
《领导班子政绩考核评价系统》是对地方领导班子集体政绩考核测评的一套理论体系.考核评价系统主要包括对各类考核指标的数据信息进行全面收集、处理、统计、分析、反馈和检查考核.对促进地区全面、协调可持续发展发挥着重要的指导作用,促进了对党政领导干部评价工作向着制度化、规范化发展.  相似文献   
74.
文章从提高科技文献检索质量的视角出发,提出基于本体的科技文献检索框架,就本体构建、文献语义空间、查询请求重构、检索过程等方面进行研究,并给出关键算法。指出本检索框架与现有研究相比,主要特征包括:基于规则自动生成文献资源的语义扩展模型;构造“特征词汇-文献-概念”三层子网结构的文献信息空间;引入用户兴趣模型,强调有关用户的这些知识将对新的检索策略的产生和发展产生影响。  相似文献   
75.
Many of the approaches to image retrieval on the Web have their basis in text retrieval. However, when searchers are asked to describe their image needs, the resulting query is often short and potentially ambiguous. The solution we propose is to perform automatic query expansion using Wikipedia as the source knowledge base, resulting in a diversification of the search results. The outcome is a broad range of images that represent the various possible interpretations of the query. In order to assist the searcher in finding images that match their specific intentions for the query, we have developed an image organization method that uses both the conceptual information associated with each image, and the visual features extracted from the images. This, coupled with a hierarchical organization of the concepts, provides an interactive interface that takes advantage of the searchers’ abilities to recognize relevant concepts, filter and focus the search results based on these concepts, and visually identify relevant images while navigating within the image space. In this paper, we outline the key features of our image retrieval system (CIDER), and present the results of a preliminary user evaluation. The results of this study illustrate the potential benefits that CIDER can provide for searchers conducting image retrieval tasks.  相似文献   
76.
The quality of feedback documents is crucial to the effectiveness of query expansion (QE) in ad hoc retrieval. Recently, machine learning methods have been adopted to tackle this issue by training classifiers from feedback documents. However, the lack of proper training data has prevented these methods from selecting good feedback documents. In this paper, we propose a new method, called AdapCOT, which applies co-training in an adaptive manner to select feedback documents for boosting QE’s effectiveness. Co-training is an effective technique for classification over limited training data, which is particularly suitable for selecting feedback documents. The proposed AdapCOT method makes use of a small set of training documents, and labels the feedback documents according to their quality through an iterative process. Two exclusive sets of term-based features are selected to train the classifiers. Finally, QE is performed on the labeled positive documents. Our extensive experiments show that the proposed method improves QE’s effectiveness, and outperforms strong baselines on various standard TREC collections.  相似文献   
77.
主要讨论在Web环境下,如何使用PHP和MYSQL实现成绩查询系统的应用,并且给出了详细的设计方法。内容具体涉及到数据库中批量数据的导入、一般条件查询和多种条件复合查询两种方式的实现。实例选取外语成绩查询为模版,相关的原理和方法可以应用到类似的一般成绩查询系统中。  相似文献   
78.
79.
This is a thorough analysis of two techniques applied to Geographic Information Retrieval (GIR). Previous studies have researched the application of query expansion to improve the selection process of information retrieval systems. This paper emphasizes the effectiveness of the filtering of relevant documents applied to a GIR system, instead of query expansion. Based on the CLEF (Cross Language Evaluation Forum) framework available, several experiments have been run. Some based on query expansion, some on the filtering of relevant documents. The results show that filtering works better in a GIR environment, because relevant documents are not reordered in the final list.  相似文献   
80.
本文以山东信息职业技术学院校园为例,将虚拟现实技术应用于校园.介绍了虚拟校园的构建过程,借助VRP生成三维虚拟校园漫游系统,并实现了连接数据库功能.使得用户在漫游中查询到选择物体的详细信忠,为用户提供更加详细的介绍.  相似文献   
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