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中英文网络问答社区比较研究与评价实验 总被引：1，自引：0，他引：1
对Web2.0环境下12个典型的中英文网络互动问答社区的基本信息、交互性、个性化服务等方面进行比较研究,并通过一个问答实验按照三个领域4类问题,对其回答问题的质量与效率等方面进行评价。研究结果对网络问答社区的进一步完善与发展提出建议。 相似文献
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网络问答社区与联合参考咨询比较与评价 总被引：3，自引：1，他引：2
为改善Web20环境下图书馆的参考咨询服务,借鉴网络问答社区的咨询服务模式,采用对比分析与问答实验的方法,对网络问答社区与联合参考咨询的运行机制、咨询内容、个性化服务等内容进行调研;对经济学、文学和图书馆学3个领域的事实性问题、列举性问题、定义性问题、探索性问题等4类问题的回答质量与效率进行评价。实验结果表明,网络社区的回复数量多,响应速度快,而参考咨询系统更擅长事实性问题的解答。联合参考咨询应借鉴网络问答社区多样化的运作机制和有效的回答问题方式。IPL2的服务理念值得在参考咨询系统中推广。表10。参考文献19。 相似文献
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[目的/意义]作为目前主流的在线问答社区模式,免费和付费在线问答社区为用户提供了不同的信息交互场景,能够满足差异化的用户需求。本文通过对两类社区用户参与行为的比较,深入揭示了他们之间的行为差异,对两类社区服务模式的优化提供了对策和建议。[方法/过程]采用列联表分析、非参数检验和负二项回归等方法对免费和付费在线问答社区用户的参与特征和交互影响关系进行了分析。[结果/结论]研究发现免费和付费在线问答社区用户在信息需求、参与特征和交互影响关系上存在诸多差异,其中免费在线问答社区具有最多的观点型问题,付费在线问答社区具有最多的建议型问题;免费提问者倾向于用抽象、概括的方式提出问题,付费提问者则倾向于提供详细的背景信息;问题长度负向影响免费回答的数量和长度,正向影响付费回答的长度;问题长度、回答长度正向影响免费和付费评价数量。本文丰富了对在线问答社区用户参与行为的研究,为免费和付费两类社区服务模式优化提供了一定的管理建议。 相似文献
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基于搜索引擎的中文问答社区比较研究 总被引：1，自引：0，他引：1
对5个基于搜索引擎的中文问答社区从问答机制、激励机制、用人机制、回答质量等方面进行了比较研究,指出其各自的优势和不足,并提出进一步改进和完善的建议。 相似文献
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问答社区是知识交流的重要平台,但是随着越来越多的企业在其中开展营销活动,社区的信息质量开始下降.文章研究问答社区的低可信度信息的类型、传播特征及表现形式,提出在信息传播的源头引入SNS机制、在传播的过程中引入专家过滤和系统过滤机制、在传播的后期引入质量评价与推送机制的改进措施. 相似文献
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探讨问答社区中用户与资源的互动关系,从百度知道中选择400个提问作为研究样本,从真实的答案和用户数据中获取仿真实验的初始参数--资源完整度和用户能量值,并运用Netlogo进行仿真实验。研究结论显示,用户数量是问答社区发展的一个关键因素,比高用户贡献率更能促进问答社区的快速发展,而用户的资源再生率的提高能有效提升问答社区的用户质量。 相似文献
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[目的/意义]旨在构建社会化问答社区用户生成答案质量评价指标体系，实现面向用户需求的答案质量自动化评价和筛选，提高社会化问答社区知识服务质量。[方法/过程]引入社会情感特征和用户特征，运用因子分析和结构方程实证构建用户生成答案质量评价指标体系。基于GA-BP神经网络模型设计答案质量自动化评价方法。最后，选取知乎网站数据对用户生成答案质量评价指标体系和自动化评价方法进行应用研究。[结果/结论]构建包含答案文本特征、回答者特征、时效特征、用户特征、社会情感特征5个维度的评价指标体系。实验分析发现基于GA-BP神经网络的答案质量自动化评价方法相比于其他方法准确率较高、平均误差低，具有可行性和有效性，能够进一步应用和推广实践。 相似文献
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[目的/意义] 分析答案质量反馈对社会化问答社区用户持续答题意愿的影响,可以对社会化问答社区增加用户粘性、提高用户体验起到一定的指导作用。[方法/过程] 从社会资本理论中提取答案质量反馈变量并分析其对社会化问答社区用户持续答题意愿的影响。通过结构方程方法对收集整理的调查问卷数据进行分析,验证模型的可行性和优越性。[结果/结论] 构建答案质量反馈对社会化问答社区用户持续答题意愿影响模型;结论表明,答案质量反馈正向影响反馈期望确认程度与反馈感知有用性;反馈期望确认程度正向影响反馈感知有用性与反馈满意度;反馈感知有用性正向影响反馈满意度与持续答题意愿;反馈满意度也同样正向影响持续答题意愿。 相似文献
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探究社会化问答社区用户持续使用意愿的影响因素及其作用机理，以期揭示隐藏在社会化问答社区用户持续使用行为背后的深层次起因。基于相关理论和研究情境，构建社会化问答社区用户持续使用意愿影响因素作用机理模型。运用模糊集定性比较分析(fsQCA)方法，基于310份问卷数据，分析前因变量的不同组合对社会化问答社区用户持续使用意愿的路径影响。研究发现：导致社会化问答社区用户高持续使用意愿的组态路径有6条，导致社会化问答社区用户低持续使用意愿的组态路径则只有1条；“知识内容质量”“主观规范”“社交满足感”和“自我效能感”4个前因变量在社会化问答社区用户持续使用意愿的组态影响路径中扮演了关键角色。研究结论可以拓展和深化信息系统用户持续使用行为的相关理论研究，并可为社会化问答社区等在线知识服务平台进一步优化服务标准、提升运营水平提供实践依据。 相似文献
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Health information consumers and patients increasingly take an active role in seeking health information online and in sharing their health problems and concerns in online support groups and social media venues. However, they may risk being influenced by unreliable and misleading information in such environments, as no intermediaries monitor the quality of this information. This study focuses on evaluating the quality of health information exchanged in one of the social media venues, by investigating how librarians, nurses, and users assessed the quality of health answers in Yahoo! Answers, a social question-and-answering (Q&A) service. Through statistical analysis differences among the three participant groups, how the background characteristics influenced their assessments, and the relationships between characteristics of the content of answers and quality evaluation criteria were each considered in detail. Librarians and nurses shared similar ratings of answer quality, but had differences in their level of medical knowledge and the types of services they offer, resulting in minor differences across criteria. Users perceived the quality of health answers in social Q&A to be higher than librarians and nurses for almost all criteria. Depending on the sources of information presented in health answers, librarians, nurses, and users gave different quality assessments. Implications exist for research into and practice of evaluating the quality of health information, which need to address both search and domain expertise along with the sharing of socioemotional values preferred by users. 相似文献
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Samuel Kai Wah Chu Hong Huang Wendy Nga Man Wong Wouter F. van Ginneken Kendra M. Wu Miu Yan Hung 《Library & information science research》2018
This study investigated the quality and clarity of health information from a total of 238 (126 English and 112 Chinese) answers retrieved from Yahoo!Answers sites. Registered nurses and library professionals judged information quality based on 8 criteria: accuracy, completeness, relevance, readability, verifiability, professional advice, usefulness and non-commercialization. Writing clarity was assessed through rhetorical structure analysis. Results showed that 46% of answers were of poor quality. Furthermore, many Q&A site users were unable to distinguish adequately between high- and low-quality answers. Only 60% of their selected best-answers corresponded to those of the health professionals. These results indicate that the reliability of health information on Q&A sites is questionable. This unreliability may partially be due to the fact that Q&A site answers contain both medical information and social support. Although both are important, they are not always compatible. It may even be dangerous to mistakenly present social support as objective medical information. This research suggests that medical advice and social support should be separated. This has a further advantage in that medical advice could be subjected to stringent, necessary quality assurance measures, without interfering with social support. 相似文献
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为了促进我国分级阅读实践的发展,探索中文分级阅读标准体系的科学研制和推广发展,本文比较和分析了各种发展成熟的英语类分级阅读标准的特点,研究了德国、日本、我国港台地区、我国大陆地区的分级阅读标准。提出了我国分级阅读标准研制吸纳多领域人才、重视个体特色、实现标准互相参照、审慎选择书目、协调市场关系、重视用户反馈等可行性建议。 相似文献
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Many questions submitted to Collaborative Question Answering (CQA) sites have similar questions answered before. We propose a precise approach of automatically finding an answer to such questions by automatically identifying “equivalent” questions submitted and answered, in the past. Our method is based on automatically generating equivalent question patterns by grouping together questions that have previously obtained the same answers. The generated patterns are used as seed patterns to match more questions to extract large number of equivalent patterns by a new bootstrapping-based learning method. The resulting patterns can be applied to match a new question to an equivalent one that has already been answered, and thus suggest potential answers automatically. We experimented with this approach over a large collection of more than 200,000 real questions drawn from the Yahoo! Answers archive, automatically acquiring over 16,991 groups of equivalent question patterns. These patterns allow our method to obtain over 57% recall and over 54% precision on suggesting an answer automatically to new questions, significantly improving over baseline methods. 相似文献
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Background: Question‐answering systems (or QA Systems) stand as a new alternative for Information Retrieval Systems. Most users frequently need to retrieve specific information about a factual question to obtain a whole document. Objectives: The study evaluates the efficiency of QA systems as terminological sources for physicians, specialised translators and users in general. It assesses the performance of one open‐domain QA system, START, and one restricted‐domain QA system, MedQA. Method: The study collected two hundred definitional questions (What is…?), either general or specialised, from the health website WebMD. Sources used by the open‐domain QA system, START, and the restricted‐domain QA system, MedQA, were studied to retrieve answers, and later a range of evaluation measures (precision, Mean Reciprocal Rank, Total Reciprocal Rank, First Hit Success) were applied to mark the quality of answers. Results: It was established that both systems are useful in the retrieval of valid definitional healthcare information, with an acceptable degree of coherent and precise responses from both. The answers supplied by MedQA were more reliable that those of START in the sense that they came from specialised clinical or academic sources, most of them showing links to further research articles. Conclusions: Results obtained show the potential of this type of tool in the more general realm of information access, and the retrieval of health information. They may be considered a good, reliable and reasonably precise alternative in alleviating the information overload. Both QA systems can help professionals and users can obtain healthcare information. 相似文献
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Objective: To develop an explicit scheme for calculating a 5‐star quality rating for consumer health information, and to test if there is good agreement be tween this and the final DISCERN quality question. Design: A sample of 15 consumers and health professionals rated 26 health information leaflets covering a broad range of conditions and treatments using two new 5‐star‐rating schemes and the existing DISCERN final quality rating. Each scheme is based on the 15 DISCERN criteria, but the 5‐star schemes provide more explicit methods for summarizing overall quality. The level of agreement between the three different rating systems was compared using Kappa scores with quadratic weights. Participants were also asked to complete a brief questionnaire that was designed to elicit their views on using a visual summary of the quality of health information. Results: The level of agreement between each 5‐star‐rating system and the existing DISCERN quality rating question was high (kappa = 0.86, 95% CI 0.83–0.89 in both instances). Seventy‐seven per cent of the sample preferred the second star‐rating scheme, and 80% reported they would use such a scheme. Conclusion: Assigning a single quality score using an explicit scoring scheme (represented by stars) based on answers to the DISCERN questionnaire is a reliable and valid way of rating consumer health information. 相似文献
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Objectives: For general practitioners (GPs), an important obstacle to practising evidence‐based medicine is lack of time. An evidence‐based answering service was developed that took over searching and appraisal of medical evidence from the GPs. GPs sent in questions, and the informationist formulated the answers. Our objectives were to find out if such an evidence‐based answering service was feasible, including assessing the effect of the answers on GPs and their patients, as reported by the GPs. Methods: After attending a workshop on building well‐formulated questions from daily practice, the GPs sent in questions to the informationist. The literature was searched, the relevant information was appraised, and the answers to the questions were formulated. With a questionnaire, the effect of the answers on the GP and the patient was assessed, as well as the perceived barriers to implementing the answers. Results: From 26 GPs, 61 questions were received. For 12% of questions, information was found with the highest evidence level, while for 36%, no information was found. However, for 89% of the questions for which no information could be found, the answer ‘no information found’ did have an effect on the GP concerned. In total, 81% of all the answers had an effect on the GP, and, according to the GP, 52% had an effect on the patient. Few barriers to implementing the evidence were perceived. Most of the answers were found in Pubmed/Medline, the Cochrane Library and Embase. Conclusions: This study indicates that an evidence‐based answering service can have an impact on GPs and their patients. Librarians can provide an evidence‐based answering service for GPs and their patients. The evidence‐based answering service for GPs in this study had an impact on 81% of the GPs and on 52% of their patients. Although for one‐third of the questions no evidence‐based answer was found, this message in itself had an impact on 89% of the GPs. An informationist as mediator between medical information and doctors can save doctors’ time. 相似文献
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[目的/意义]学术社交网络所提供的问答服务已成为学者们快速获取学术信息、解决学术问题的重要途径,实现基于机器学习的问答质量智能评价和服务优化对学术社交网络中优质内容传播具有重要意义。[方法/过程]以ResearchGate问答服务为研究对象,从结构化特征、内容特征、其他特征以及回答者特征4个维度构建答案质量评价体系,利用机器学习方法和数据增强技术进行答案质量分类预测。[结果/结论]SMOTE算法在处理不平衡样本时具备有效性;支持向量机在单一模型预测中,取得出色的分类效果;组合模型使预测精度得到进一步提升,基于随机森林、支持向量机、BP神经网络构建的组合模型分类性能最佳,以此为基础可通过搭建问答质量智能评价系统实现学术社交网络问答服务优化。 相似文献