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随着经济全球化和社会信息化发展,网络信息产品和服务在社会信息消费结构中所占的比重不断上升,信息消费将成为人们未来消费的主要方式之一。文章从信息生态学角度,给出用户信息消费的构成要素和基本特征,研究分析用户信息消费实现过程中来自消费主体、消费客体和消费环境等方面的各种障碍因素,提出提高信息消费质量的一些对策和措施。 相似文献
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经济学视角的网络用户信息选择行为分析 总被引：1，自引：0，他引：1
从网络用户信息选择行为的含义和基本环节入手,根据用户信息选择中的经济学原则,借用网络消费的数学模型推导出信息选择的效用曲面图,并利用效用曲面图分析了不同效用阶段网络用户信息选择行为的特点和其主要的影响因素. 相似文献
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企业管理咨询是指由受过专门训练的、有经验的专家根据有关的协议,客观、独立、公正地为企业识别、分析管理中存在的问题,提出解决问题的办法,并在企业需要时,帮助解决这些问题.在我国,有针对性地开展企业信息咨询是近几年来的事,苏南企业对企业管理信息咨询的消费也是刚刚开始.从总体上看,苏南广大企业用户对企业管理咨询还存在着许多模糊的认识,消费企业管理咨询的意识普遍不强,成功的消费实例也不多见.根据这一现状,我们认为,在当前苏南企业推进信息化进程和企业管理波动、管理失误较多的情况下,宣传企业管理咨询,培育企业用户消费管理咨询的意识已成为苏南现代化建设的重要内容之一. 相似文献
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论图书馆情报用户的信息能力障碍 总被引：21，自引：1，他引：20
由于图书馆情报服务效益的大小必须通过用户信息需求实现的程度来体现,这就要求我们在强化图书馆现代信息服务功能的同时,必须加强对图书馆服务对象及其信息行为的研究,以及研究因图书馆服务形式、服务内容、服务手段、资源结构等因素的改变而导致的用户新的潜在性需求和信息行为障碍,以便帮助用户实现由潜在需求向显在需求、现实需求的转化. 相似文献
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我国居民信息消费核算及其特征分析 总被引：2，自引：0，他引：2
本文从探讨居民信息消费的定义及统计口径入手,根据1981-2007年的统计资料计算出了我国城乡居民的信息消费额.其结果表明:我国居民信息消费正趋于稳定增长,并向信息内容消费方面发展,通信消费与文化教育娱乐消费日益融合.为适应此种变化,政府需采取相应的对策措施,以便更好地满足居民的信息消费需求. 相似文献
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基于信息过滤的Web信息查询优化 总被引：2，自引：0，他引：2
从信息过滤的角度分析信息查询的个性化发展,通过用户需求与信息内容的相似性匹配过滤与用户需求无关的信息,从而实现网络环境下用户信息查询结果的优化.据此建立基于信息过滤的用户模型框架,探讨基于信息过滤的信息查询系统优化实现的过程和方法. 相似文献
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实施信息共享虽然困难重重 ,但仍然需要在发展中传承。用户消费信息的模式即将由采购信息转向采购服务 ,信息服务的模式也将要由信息共享向服务互用转型。本文提出了服务互用的概念、实现条件和体系结构 ,解析了实施服务互用的必要性和可能性 相似文献
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在介绍信息用户相关研究模型的基础上,分析了目前信息用户研究模型存在的不足,并构建了信息用户成长模型,以更好地体现信息用户为中心的理念.该模型是通过系统地考察信息行为、信息意识、信息环境的影响等因素的基础上建立的.该模型能够更好地反映信息环境对用户的长远影响. 相似文献
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This paper reports the results of a preliminary study of interpersonal information seeking interactions between a user and a human information source. The study showed that users specify their information needs (uncertainty) largely in terms of what they know (certainty) during the interaction. The articulated certainty and uncertainty in the interaction can be classified as utterances focusing on either the topic (what the user is talking about) or comment (how that topic fits in with the user's situation or problem). We suggest that user studies in information seeking research should conceptually realign from an emphasis on user's uncertainty- and topic-based matching to the inclusion of user's certainty and comment dimensions in order to develop a more linguistically robust, multi-dimensional approach to matching for information retrieval. 相似文献
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《International Journal of Information Management》2014,34(2):139-150
Banking is an enterprise consists of different levels of users with the requirement of different levels of information. We propose an information delivery model for banking business which takes information from business analysis and finds the best user for this information with respect to criteria and delivers the multi criteria reporting. There are many multi criteria decision making techniques [MCDM] available to find the best alternative in MCDM problem. We applied fuzzy MCDM technique which resolves inconsistency and uncertainty issues involved in decision making of information delivery for bank users. This model classifies most preferred user to least preferred user for the given information using fuzzy score. This information delivery model and its layers can be applied to other domains to build information delivery model. 相似文献
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As access to information becomes more intensive in society, a great deal of that information is becoming available through diverse channels. Accordingly, users require effective methods for accessing this information. Conversational agents can act as effective and familiar user interfaces. Although conversational agents can analyze the queries of users based on a static process, they cannot manage expressions that are more complex. In this paper, we propose a system that uses semantic Bayesian networks to infer the intentions of the user based on Bayesian networks and their semantic information. Since conversation often contains ambiguous expressions, the managing of context and uncertainty is necessary to support flexible conversational agents. The proposed method uses mixed-initiative interaction (MII) to obtain missing information and clarify spurious concepts in order to understand the intention of users correctly. We applied this to an information retrieval service for websites to verify the usefulness of the proposed method. 相似文献
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《Information processing & management》2023,60(1):103132
The measures typically used to assess binary classification problems fail to incorporate the uncertainty inherent to many contexts into the results. We propose using a Bayesian model to express the uncertainty in binary classification problems. This study identified 10 previous studies that provided sufficient data to demonstrate the use of Bayesian analysis in Information Systems (IS) contexts with varying levels of uncertainty. The analysis and user study show that the addition of Bayesian analysis is most useful in high uncertainty contexts with a wide interval for positive predictive value. Such an interval will lead to high uncertainty, even with very certain sensitivity and specificity. The usefulness of Bayesian analysis in conditions of medium uncertainty depends on the context. In conditions of low uncertainty, Bayesian analysis does not add much value. The user study showed that presenting models with uncertainty changed researcher perception of which model performed the best with 18 of 21 researchers changing their opinion. We recommend that authors estimate the uncertainty in their models and provide confusion matrices and prevalence estimates in their results to enable Bayesian analysis as research in a domain matures. 相似文献
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This research focuses specifically on uncertainty and information seeking in a digital environment. In this research we argue that different types of uncertainty are associated with the information seeking process and that, with the proliferation of new and different search tools, sources and channels, uncertainty, positive/desirable or negative/undesirable, continues to be a significant factor in the search process. Users may feel uncertain at any stage of the information search and retrieval process and uncertainty may remain even after completion of the process resulting in what may be called persistent uncertainty. An online questionnaire was used to collect data from users in the higher education sector. There were three parts to the questionnaire focusing on: information seeking activities, information seeking problems, and access to specific information channels or sources. Quantitative analysis was carried out on the data collected through the online questionnaire. A total of 668 responses were returned from the chosen user categories of academic staff, research staff and research students. This research has shown that there are some information seeking activities and information seeking problems that are the most common causes of uncertainty among significant number of users from different disciplines, age, gender, ICT skills, etc. This is also the case with respect to access to and use of specific information sources/channels, although the degrees of uncertainty in relation are relatively small. Possible implications of this study and further research issues are indicated. 相似文献
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【目的/意义】当前的信息用户行为特征挖掘方法无法将数据统一整合,且无法准确计算出时间序列内滑动
窗口内的数据均值,导致特征挖掘精度偏低。为此,提出了基于时间特性的信息用户行为特征挖掘方法。【方法/过
程】计算时间序列内滑动窗口内的数据均值,得出起始序列向量,再将用户行为划分成若干等值的时间片,通过取
样统计各种用户群体,得出用户的行为状态定性。以平均查询频率作为标准,观察用户的查询行为特征,输出信息
挖掘结果。【结果/结论】实验结果表明：所提方法挖掘出夜晚用户行为信息多于白天,休息日比工作日多,且在网络
波动下,虽然耗时增加,不过处于合理范围内。与传统方法相比,所提方法具有更低的挖掘误差,应用性较强。以
上实验结果证明了基于时间特性的信息用户行为特征挖掘研究能获取更准确的用户行为意向,提高用户兴趣预测
准确度,优化网络服务效果。【创新/局限】为进一步提高网络信息特征挖掘的效率,后续将重点研究多个网络用户
行为的并行分析,使该方法更适用于网络海量信息处理。 相似文献
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《Information processing & management》2005,41(3):635-650
Temporal expressions occurring in business news, such as “last week” or “at the end of this month,” carry important information about the time context of the news document and were proved to be useful for document retrieval. We found that about 10% of these expressions are difficult to project onto the calendar due to the uncertainty about their bounds. This paper introduces a novel approach to representing temporal expressions. A user study is conducted to measure the degree of uncertainty for selected temporal expressions and a method for representing uncertainty based on fuzzy numbers is proposed. The classical Vector Space Model is extended to the Temporal Document Retrieval Model (TDRM) that incorporates the proposed fuzzy representations of temporal expressions. 相似文献
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《Information processing & management》2022,59(3):102936
Session-based recommendation aims to predict items that a user will interact with based on historical behaviors in anonymous sessions. It has long faced two challenges: (1) the dynamic change of user intents which makes user preferences towards items change over time; (2) the uncertainty of user behaviors which adds noise to hinder precise preference learning. They jointly preclude recommender system from capturing real intents of users. Existing methods have not properly solved these problems since they either ignore many useful factors like the temporal information when building item embeddings, or do not explicitly filter out noisy clicks in sessions. To tackle above issues, we propose a novel Dynamic Intent-aware Iterative Denoising Network (DIDN) for session-based recommendation. Specifically, to model the dynamic intents of users, we present a dynamic intent-aware module that incorporates item-aware, user-aware and temporal-aware information to learn dynamic item embeddings. A novel iterative denoising module is then devised to explicitly filter out noisy clicks within a session. In addition, we mine collaborative information to further enrich the session semantics. Extensive experimental results on three real-world datasets demonstrate the effectiveness of the proposed DIDN. Specifically, DIDN obtains improvements over the best baselines by 1.66%, 1.75%, and 7.76% in terms of P@20 and 1.70%, 2.20%, and 10.48% in terms of MRR@20 on all datasets. 相似文献
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[目的/意义] 数字阅读是当前国民阅读的主要途径,付费数字阅读也成为新的消费增长点,但用户满意度仍然不高。文章尝试从用户需求层面进行探究,以期为数字阅读的持续健康发展提供指导,并对数字图书馆建设给予启发。[方法/过程] 通过收集大量相关产品的网络评论和与用户的深度访谈得到研究数据,进而运用扎根理论探究数字阅读产品的付费影响因素并构建出相对应的用户需求模型。[结果/结论] 研究发现,付费数字阅读用户需求分为功能需求和信息需求两个类别,且用户需求层次结构具有不断成长的演化趋势,这种趋势使得用户需求不断膨胀,从基本型需求发展到期望型需求,再拓展到兴奋型需求。 相似文献