The influence of the document ranking in expert search

The retrieval effectiveness of the underlying document search component of an expert search engine can have an important impact on the effectiveness of the generated expert search results. In this large-scale study, we perform novel experiments in the context of the document search and expert search tasks of the TREC Enterprise track, to measure the influence that the performance of the document ranking has on the ranking of candidate experts. In particular, our experiments show that while the expert search system performance is related to the relevance of the retrieved documents, surprisingly, it is not always the case that increasing document search effectiveness causes an increase in expert search performance. Moreover, we simulate document rankings designed with expert search performance in mind and, through a failure analysis, show why even a perfect document ranking may not result in a perfect ranking of candidate experts.     

Improving semistatic compression via phrase-based modeling

In recent years, new semistatic word-based byte-oriented text compressors, such as Tagged Huffman and those based on Dense Codes, have shown that it is possible to perform fast direct search over compressed text and decompression of arbitrary text passages over collections reduced to around 30–35% of their original size. Much of their success is due to the use of words as source symbols and a byte-oriented target alphabet. This approach broke with traditional statistical compressors, which use characters as source symbols and a bit-oriented target alphabet.     

Recombinant search and breakthrough idea generation: An analysis of high impact papers in the social sciences

Some ideas have dramatically more impact than others – they may overturn existing paradigms or launch new areas of scientific inquiry. Where do such high impact ideas come from? Are some search processes significantly more likely to lead to breakthrough idea generation than others? In this research, we compare “high impact” papers from the social sciences with random-but-matched articles published in the same journals in the same years. We find that search scope, search depth, and atypical connections between different research domains significantly increase a paper's impact, even when controlling for the experience and prior publishing success of the author(s).     

利用BP神经网络算法优化个性化搜索引擎

本文针对现代人对网络信息检索需求的提高,提出一种利用BP人工神经网络算法优化个性化搜索引擎的方法,使搜索引擎更具智能化、个性化,力图为用户提供最佳的检索结果。     

基于TMS34010的雷达光栅扫描显示软件设计

本文详细介绍了基于TMS34010图形处理板的雷达终端光栅显示器显控软件的设计,重点阐述了采用模块化和分层结构设计技术。对TMS34010图形处理、82530串行口芯片、34075彩色查找表芯片、高速RAM等使用都有较为详尽的描述。对基于标准计算机键盘、鼠标、串行通信接口在TMS34010上的使用给出了完整系统的说明。该系统应用方便、实用、灵活。     

基于相关查询的搜索引擎查询自动分类研究

如何准确理解用户提交的查询成为搜索引擎面临的一个难题,对查询进行自动分类是尝试解决问题的一种方法。提出基于相关查询对查询进行自动分类的方法。首先介绍此方法的设计思路和流程,同时对关键处理步骤进行说明,然后选择百度风云榜的数据作为测试集进行测试验证,查准率可达到71.74%,最后分析和总结方法不足之处以及下一步研究计划。     

歌剧《盼你归来》的视觉呈现

分析歌剧《盼你归来》的舞台设计、舞美元素、灯光设计及视觉呈现。     

具身认知领域研究热点与前沿演进——基于CiteSpace的可视化分析

该文采用CiteSpace文献计量法,选取CNKI与WOS数据库对国内外近20年来具身认知领域的研究内容进行可视化分析,对比、探究国内外具身认知领域的发展趋势、研究热点及前沿演进,并对具身效应研究现状进行大数据分析,以期为该领域的未来发展方向提供参考。     

短道速滑运动员不同临场决策视觉搜索特征的实验研究

短道速滑比赛过程紧张而激烈,在不同临场决策,如启动加速、领滑、跟随滑行、超越、配合等技战术的运用和发挥时,都需要运动员对周围 环境进行观察判断。视觉信息提取的不同模式可准确反映出运动员在比赛中不同临场情境时采取不同技、战术策略。因此,记录短道速滑运动员 在运动训练或比赛过程中不同临场决策的眼动模式,有利于提供有效训练的模式和策略。     

试论我国紧急搜查制度刑事立法之完善

刑事搜查体现了国家公共权力和公民基本权利之间对立和冲突的紧张关系。有证搜查是常态,还存在紧急搜查等无证搜查的例外情况。我国法律对紧急搜查规定得还略显薄弱,既不利于防止搜查权的滥用,更不利于急迫时＂惩罚犯罪、保护人民＂价值目标的实现。通过对紧急搜查的＂适用条件＂、＂紧急的标准判断＂、＂相关的法律后果＂等理论内容的清楚辨别,可能是建立健全我国相关法律体系的有效方法。