采莓与搜索:随性休闲搜索行为特征研究

[目的/意义]随性休闲搜索具有与工作任务情境下以结果为导向的搜索行为不同的规律，探索休闲情境中的搜索行为特征对于信息系统功能的优化，从而为用户日常信息搜索提供更有效的支持具有重要的意义。[方法/过程]论文以采莓模型为基础，采用基于观察实验的日记研究法，招募23位实验参与者进行了为期一周的视频搜索实验，通过文本分析和数据建模，从查询变化、思考、信息/文档、结束4个方面分析了随性休闲搜索行为的特征。[结果/结论]随性休闲搜索中用户需求及其变化带来了查询改变；用户对信息保持着开放选择，从自身情感体验进行搜索评价。随性休闲搜索是一个顺其自然的信息接受和利用过程，也是一项带来快乐体验的休闲活动。     

OPAC拼音搜索功能的设计与实现

针对当前汉字输入不便而造成OPAC检索效率低下的现状,进行拼音搜索的研究。对书目数据和用户检索行为进行收集、利用、挖掘和整理,以此构建动态汉字拼音数据库,实现基于AJAX的拼音输入提示、基于ASP的拼音搜索提示以及直接拼音搜索功能,对用户的检索行为给出检索建议,以期简化输入、提升检索体验。     

基于场景测试的高校学生网络信息搜索能力评价

本文构建出一个基于场景测试的学生网络信息搜索能力评价体系,包括了评价指标、评价标准和评价工具。文章采用该评价体系对高校学生进行测试,探讨了我国高校学生的网络信息搜索能力水平和相关特征,同时还考察了测试效果。最后指出该评价体系能够较好地定量测评学生网络信息资源搜索能力,对我国信息素养教育的发展起到重要的促进作用。     

信息检索决策中的学习规则量化分析——强化模型拟合实验观测

使用学习模型定量分析信息用户检索行为特征,对于扩展传统用户研究的方法、促进学科间融合具有重要意义。本文首先分析了信息用户检索决策中的强化学习特征,并选择了强化学习模型中的Bush-Mosteller模型和Borgers-Sarin模型对用户的检索决策行为形成过程进行模拟。模拟结果表明Borgers-Sarin模型成功捕捉了用户检索行为的形成过程,说明用户学习规则特征表现为将预期与反馈结果进行比较;模型的参数表明用户行为的黏滞性、惯性特征明显。     

美国两大法律数据库检索技术与功能比较分析

Lexis.com和Westlaw International是美国两个著名的法律数据库,其文献收录覆盖范围广、文献类型多样、检索技术复杂,从内容到功能上十分类似。对两者收录内容、检索方式、检索技术、检索功能等进行比较和分析,可使用户对其结构和检索技巧有更深刻的了解,方便学习者和研究者有效利用这两大法律数据库。     

开放式创新过程中技术搜索策略和方法研究

本文将开放式创新过程划分为技术获取和技术利用两个阶段,提出了贯穿于两个阶段的4种技术搜索策略,分析了解决创造性问题理论在两个阶段的应用原理与步骤,探讨了吸收能力和环境包容性对技术搜索的作用。在此基础上,本文提出开放式创新过程中技术搜索策略和方法的分析框架。     

搜索引擎及其特色功能的比较与应用分析

全文搜索引擎是目前比较有效的网络信息搜索工具。本文比较了谷歌、百度、必应、雅虎、搜狗、有道和搜搜等常用的7种搜索引擎的学术信息搜索情况、特色功能和搜索语法。在介绍功能特色的基础上,分析了这些功能在学术信息检索中的应用特点。     

Overlaps of multiple database retrieval and citation tracking in dementia care research: a methodological study

Objective:We aimed to determine overlaps and optimal combination of multiple database retrieval and citation tracking for evidence synthesis, based on a previously conducted scoping review on facilitators and barriers to implementing nurse-led interventions in dementia care.Methods:In our 2019 scoping review, we performed a comprehensive literature search in eight databases (CENTRAL, CINAHL, Embase, Emcare, MEDLINE, Ovid Nursing Database, PsycINFO, and Web of Science Core Collection) and used citation tracking. We retrospectively analyzed the coverage and overlap of 10,527 retrieved studies published between 2015 and 2019. To analyze database overlap, we used cross tables and multiple correspondence analysis (MCA).Results:Of the retrieved studies, 6,944 were duplicates and 3,583 were unique references. Using our search strategies, considerable overlaps can be found in some databases, such as between MEDLINE and Web of Science Core Collection or between CINAHL, Emcare, and PsycINFO. Searching MEDLINE, CINAHL, and Web of Science Core Collection and using citation tracking were necessary to retrieve all included studies of our scoping review.Conclusions:Our results can contribute to enhancing future search practice related to database selection in dementia care research. However, due to limited generalizability, researchers and librarians should carefully choose databases based on the research question. More research on optimal database retrieval in dementia care research is required for the development of methodological standards.     

Who is blocking access to PubMed? Educational ‘Escape Room’ for medical residents

Teaching students how to conduct bibliographic searches in health sciences’ databases is essential training. One of the challenges librarians face is how to motivate students during classroom learning. In this article, two hospital libraries, in Spain, used Escape rooms as a method of bringing creativity, teamwork, communication and critical thinking into bibliographic search instruction. Escape rooms are a series of puzzles that must be solved to exit the game. This article explores the methods used for integrating escape rooms into training programmes and evaluates the results. Escape Rooms are a useful tool that can be integrated into residents’ training to support their instruction on bibliographic searches. This kind of learning stablishes competences like logical thinking and deductive approaching. These aspects aid participants to make their own decision and to develop social and intellectual skills.     

关于自然语言检索问题

自然语言检索当前仅在关键词检索的层次上已经实现，重点分析了全文检索所适应和不适应的检索要求及其评价，用分析说明了当前关于自然语言检索的主流观点的不切实际，指出自然语言检索的发展方向是与情报检索语言结合和融合。