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随着移动互联网的发展,越来越多的用户信息获取过程通过移动终端完成.但当前个性化推荐系统对用户情境的感知能力不足,缺乏为用户提供符合当前情境的个性化信息推荐服务.为此,本文提出了基于贝叶斯方法的情境化用户资源类别偏好学习以及融合该类别偏好的协同过滤个性化信息推荐.运用贝叶斯方法学习用户在不同情境下对各资源类别的偏好,然后将该类别偏好与传统协同过滤推荐算法相结合,生成符合用户当前情境的个性化信息推荐.实验表明本文提出的改进算法可以提高推荐的准确率. 相似文献
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基于协同过滤(CF)的个性化推荐技术,提出一种移动设备个性化软件推荐系统.该系统根据协同过滤的理论,首先通过软件类别兴趣相似度的计算,筛选出软件类别相似的用户候选集,过滤所有移动用户,减小产生的用户候选推荐集;然后对用户候选推荐集进行最近邻居的相似性计算以找出目标用户的邻居集合,并且对邻居集合中的邻居评分进行实时更新;最后根据兴趣相似度最大的K个邻居形成目标用户的Top-N推荐集.在第三方手机软件管理平台上通过监测推荐软件的下载或浏览量,验证系统的有效性和准确性. 相似文献
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针对传统协同过滤推荐技术应用于大规模动态数据集时难以兼顾准确度和效率的问题,提出了一种基于上下文的分布式协同过滤推荐技术,其中首先引入了推荐上下文的概念,并在此基础上通过充分考虑用户的即时兴趣以提高推荐的准确度,同时采用评分矩阵的分布式存储和计算以提高推荐的效率。实验结果表明,这里所提出的分布式协同过滤技术能够同时保证推荐的准确度和效率,使其在大规模动态数据集上的应用更具优势。 相似文献
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综合用户背景与资源特点,基于用户的协同过滤更适合高校图书馆在信息推荐中的应用。对其由于馆藏数字资源空间增大而导致推荐系统性能下降以及数据稀疏性问题,提出一种用户意图聚类的方法。通过运用K—means算法,对资源类别的意图特征值相似用户进行聚类,来提高推荐的实时性,降低数据稀疏性对信息推荐造成的影响。实验结果表明,基于用户意图聚类的协同过滤算法能有效提高推荐质量。 相似文献
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【目的/意义】针对主流APPS推荐系统一般仅能推荐同类别APPS的现状,提出了一种基于协同过滤的
APPS跨类别推荐算法(APPSR)。【方法/过程】该算法先对APPS进行聚类,考虑APPS簇间相似度,对未评分APPS
进行评分预测,构建无缺失的用户-APPS评分矩阵。在传统协同过滤技术的基础之上,引入了时间权重函数与热
门APPS惩罚机制,体现了用户兴趣的时效性,消除了热门APPS对推荐结果的影响。根据不同用户对多种APPS的
评分,预测用户对其它类别APPS的喜好,为用户提供跨类别的APPS个性化推荐。【结果/结论】通过实验验证了
APPSR算法的可行性与有效性,为APPS个性化推荐提供了新方法。 相似文献
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协同过滤推荐算法已成功应用在各类门户网站,越来越多的研究者参与其中,然而在协同过滤推荐过程中用户—项目评分矩阵数据稀疏性以及推荐的准确性低等问题,始终制约着该算法的发展。为此,从用户兴趣角度出发,单独构建情景用户兴趣模型及社交网络用户兴趣模型,再通过Logit Boost算法将2个兴趣模型融合得到准确的用户兴趣模型。Slope One算法填充用户—项目评分矩阵,解决用户—项目评分矩阵数据稀疏性问题;同时,通过用户兴趣模型计算目标用户的最近邻居用户,通过计算用户相似性,得到推荐集来提高协同过滤推荐算法的推荐准确度。 相似文献
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创新服务是智慧图书馆迎接数字挑战的必要举措,全面感知、深度感知是智慧图书馆的主要特点,是智慧图书馆开展服务的前提和基础。智慧图书馆应该在把握相关原则的前提下,根据实际情况不断进行创新服务内容建设,如“自助服务中心”建设、基于位置的推送服务、智慧课堂与移动学习服务、私人定制的信息服务以及拓展社交网络,扩大宣传阵地等,以循序渐进地推动智慧图书馆的发展。 相似文献
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Recent research in the human computer interaction and information retrieval areas has revealed that search response latency exhibits a clear impact on the user behavior in web search. Such impact is reflected both in users’ subjective perception of the usability of a search engine and in their interaction with the search engine in terms of the number of search results they engage with. However, a similar impact analysis has been missing so far in the context of sponsored search. Since the predominant business model for commercial search engines is advertising via sponsored search results (i.e., search advertisements), understanding how response latency influences the user interaction with the advertisements displayed on the search engine result pages is crucial to increase the revenue of a commercial search engine. To this end, we conduct a large-scale analysis using query logs obtained from a commercial web search. We analyze the short-term and long-term impact of search response latency on the querying and clicking behaviors of users using desktop and mobile devices to access the search engine, as well as the corresponding impact on the revenue of the search engine. This analysis demonstrates the importance of serving sponsored search results with low latency and provides insight into the ad serving policy of commercial search engines to ensure long-term user engagement and search revenue. 相似文献
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《International Journal of Information Management》2014,34(4):465-473
With the advancement of mobile technologies, numerous web service providers have begun to extend their web services to the mobile context. To understand users’ mobile service adoption behaviour in the context of the web–mobile service transition, this study investigates the role of consistency between web and mobile services by proposing a typology of consistency and examining the extent to which and the boundary conditions under which consistency works. Specifically, consistency is classified into behavioural consistency (e.g., operational consistency) and object-based consistency, which includes consistency in information, system and service in terms of the information systems success model. We also contend the mediating effect of operational consistency and the interaction effect of trust in web services and operational consistency. A field survey with 235 mobile service users confirms our mediating and moderating hypotheses. The implications for theory and practice are also discussed. 相似文献
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Emílio J.M. Arruda-Filho Julianne A. Cabusas Nikhilesh Dholakia 《International Journal of Information Management》2010
Convergence of communication technologies and innovative product features are expanding the markets for technological products and services. Prior literature on technology acceptance and use has focused on utilitarian belief factors as predictors of rational adoption decisions and subsequent user behavior. This presupposes that consumers’ intentions to use technology are based on functional or utilitarian needs. Using netnographic evidence on iPhone usage, this study suggests that innovative consumers adopt and use new technology for not just utilitarian but also for experiential outcomes. The study presents an interpretive analysis of the consumption behavior of very early iPhone users. Apple introduced iPhone as a revolutionary mobile handset offering integrated features and converged services—a handheld computer-cum-phone with a touch-screen web browser, a music player, an organizer, a note-taker, and a camera. This revolutionary product opened up new possibilities to meld functional tasks, hedonism, and social signaling. The study suggests that even utilitarian users have hedonic and social factors present in their consumption patterns. 相似文献
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基于信息系统、行为科学和心理学理论,从一般技术因素、特定技术因素、消费者心理因素和社会影响因素四个方面构建了一个整合的移动服务用户采纳行为的结构方程模型。在我国移动服务背景下,以移动阅读为研究对象,运用SPSS 13.0和PLS结构方程分析软件验证模型和假设。研究发现:影响用户采纳基于工作环境下的传统信息技术和基于日常生活环境下的移动信息技术的关键因素存在显著差异。感知愉悦性、心流体验、感知易用性和感知移动性是影响用户采纳移动阅读的主要因素,而感知有用性、感知货币价值和社会影响对用户采纳移动阅读的影响不显著。 相似文献
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网上国学信息资源在我国传统文化研究中占有非常重要的地位。该文在总结网上众多国学信息源的基础上.论述了挖掘网上国学信息资源的主要方式.并提出了构建基于移动Agent和XML的国学虚拟数据库的设想。 相似文献
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随着无线通信技术和移动互联网技术的高速发展、智能手机的日益普及,传统的基于PC的应用已逐渐向智能手机转移。为解决基于SMS和WAP网站的移动图书馆信息服务所面临的问题,在研究图书馆现有的金盘非书资料管理系统的功能和实现机制的基础上,分析系统设计与实现的技术思路以及关键技术,开发基于Android平台的移动图书馆信息服务系统,并详细介绍馆藏书目查询模块的实现细节。本系统可为读者提供便捷、高效的信息服务,提高图书馆资源的利用率,提升图书馆信息服务水平。 相似文献
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《Information processing & management》2019,56(6):102089
Recent years have seen a profound change in how most users interact with search engines: the majority of search requests now come from mobile devices, which are used in a number of distracting contexts. This use of mobile devices in various situational contexts away from a desk presents a range of novel challenges for users and, consequently, possibilities for interface improvements. However, there is at present a lack of work that evaluates interaction in such contexts to understand what effects context and mobility have on behaviour and errors and, ultimately, users’ search performance.Through a controlled study, in which we simulate walking conditions on a treadmill and obstacle course, we use a combination of interaction logs and multiple video streams to capture interaction behaviour as participants (n = 24) complete simple search tasks. Using a bespoke tagging tool to analyse these recordings, we investigate how situational context and distractions impact user behaviour and performance, contrasting this with users in a baseline, seated condition. Our findings provide insights into the issues these common contexts cause, how users adapt and how such interfaces could be improved. 相似文献
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Guillermo Navarro-Arribas Vicenç Torra Arnau Erola Jordi Castellà-Roca 《Information processing & management》2012
The anonymization of query logs is an important process that needs to be performed prior to the publication of such sensitive data. This ensures the anonymity of the users in the logs, a problem that has been already found in released logs from well known companies. This paper presents the anonymization of query logs using microaggregation. Our proposal ensures the k-anonymity of the users in the query log, while preserving its utility. We provide the evaluation of our proposal in real query logs, showing the privacy and utility achieved, as well as providing estimations for the use of such data in data mining processes based on clustering. 相似文献