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1.
WEB日志挖掘在个性化网络教育中的应用 总被引：13，自引：0，他引：13
本文介绍了Web日志挖掘的基本概念和过程,通过对学习者在网络教育中留下的日志信息进行挖掘,以实现个性化的网络教育,更好的满足不同类别学习者的需求。 相似文献
2.
数字图书馆个性化信息服务探析 总被引：2，自引：0，他引：2
文章分析了数字图书馆个性化信息服务的必要性,介绍了几种主要的个性化信息服务的方式,并进一步探讨了个性化信息服务存在的几个主要问题。参考文献8。 相似文献
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Investigation of behavior and perception of digital library users: A cognitive style perspective 总被引：1，自引：0，他引：1
Cognitive style is an influential factor in users’ information seeking. The study presented in this paper examines how users’ cognitive styles affect their behavior and perception in digital libraries. Fifty participants took part in this study. Two dimensions of cognitive styles were considered: (a) Field Dependence/Independence; (2) Verbalizer/Imager. The results showed that Intermediate users and Verbalizers have not only more positive perception, but they also complete the tasks in effective ways. Implications for the design of personalized digital libraries are also discussed. 相似文献
4.
Wendy S. Zabava Ford 《Journal of Applied Communication Research》2003,31(3):189-211
This study examined customers' perceptions of personalized service communication performance in relation to their expectations as predictors of their satisfaction and loyalty intentions in four professional service contexts. Survey data were obtained from 253 customers regarding their expectations and experiences with physicians, dentists, auto mechanics, or hairdressers. Multisample covariance structure analysis procedures were performed to assess the level of support for alternative theoretical models across all four professional contexts. Results provided support for one model, specifying that customers' perceptions of communication performance accounted for significant variation in customer satisfaction, which, in turn, predicted customers' loyal behavioral intentions. Customers' expectations did not play an influential role in predicting customer satisfaction and loyalty, as proposed in an alternative model 相似文献
5.
Yogesh Sankarasubramaniam Krishnan Ramanathan Subhankar Ghosh 《Information processing & management》2014
Automatic text summarization has been an active field of research for many years. Several approaches have been proposed, ranging from simple position and word-frequency methods, to learning and graph based algorithms. The advent of human-generated knowledge bases like Wikipedia offer a further possibility in text summarization – they can be used to understand the input text in terms of salient concepts from the knowledge base. In this paper, we study a novel approach that leverages Wikipedia in conjunction with graph-based ranking. Our approach is to first construct a bipartite sentence–concept graph, and then rank the input sentences using iterative updates on this graph. We consider several models for the bipartite graph, and derive convergence properties under each model. Then, we take up personalized and query-focused summarization, where the sentence ranks additionally depend on user interests and queries, respectively. Finally, we present a Wikipedia-based multi-document summarization algorithm. An important feature of the proposed algorithms is that they enable real-time incremental summarization – users can first view an initial summary, and then request additional content if interested. We evaluate the performance of our proposed summarizer using the ROUGE metric, and the results show that leveraging Wikipedia can significantly improve summary quality. We also present results from a user study, which suggests that using incremental summarization can help in better understanding news articles. 相似文献
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曾红艳 《湖南广播电视大学学报》2009,(2):33-34
高职校园文化建设共性与个性共存,唯其有个性,才会更有竞争力,才能更好地让高职蓬勃发展。职业特色是高职校园文化建设的共性,在此基础上,各高职院校应形成独具一格的个性,这是高职校园文化建设亟待解决的问题。 相似文献
8.
Anonymous personalization in collaborative web search 总被引：2，自引：0，他引：2
We present an innovative approach to Web search, called collaborative search, that seeks to cope with the type of vague queries that are commonplace in Web search. We do this by leveraging the search
behaviour of previous searchers to personalize future result-lists according to the implied preferences of a community of
like-minded individuals. This technique is implemented in the I-SPY meta-search engine and we present the results of a live-user
trial which indicates that I-SPY can offer improved search performance when compared to a benchmark search engine, across
a variety of performance metrics. In addition, I-SPY achieves its level of personalization while preserving the anonymity
of individual users, and we argue that this offers unique privacy benefits compared to alternative approaches to personalization. 相似文献
9.
基于浏览行为和浏览内容的用户兴趣建模 总被引：4，自引：0，他引：4
面对因特网的海量信息，为了更好地实现基于用户兴趣的个性化信息服务，提出一种隐式地获取用户兴趣模型和更新用户兴趣模型的方法。这种方法不需要用户显式地提供兴趣信息，只需要用户浏览页面时的动作和浏览的内容来获取有用的信息，随后利用这些信息建立和更新用户兴趣模型。该模型能较好地描述用户的兴趣类型及兴趣度，提高个性化信息服务的效率。 相似文献
10.
刘松 《现代图书情报技术》2007,2(4):35-38
提出一个结合本体论及通用个人资料的个性化推荐模式。首先以网络分类服务作为本体论来解释用户的网络浏览行为，以此挖掘用户的偏好；其次，利用Web使用挖掘技术过滤多余的浏览记录，增强个性化的准确度；最后，利用本体论的层次结构特点，从用户偏好类别中挖掘其潜在偏好，产生符合用户特征的通用个人资料。 相似文献