Search results

The World Wide Web has experienced phenomenal growth over the past few years, placing heavy load on Web servers. Today’s Web servers also process an increasing number of requests for dynamic pages, making server load even more critical. The performance of Web servers delivering static pages is well studied and well understood. However, there has been little analytic or empirical study of the performance of Web servers delivering dynamic pages. This paper focuses on experimentally measuring and analyzing the performance of the three dynamic Web page generation technologies: CGI, FastCGI and Servlets. In this paper, we present experimental results for Web server performance under CGI, Fast CGI and Servlets. Then, we develop a multivariate linear regression model and predict Web server performance under some typical dynamic requests. We find that CGI and FastCGI perform effectively the same under most low‐level benchmarks, while Servlets perform noticeably worse. Our regression model shows the same deficiency in Servlets’ performance under typical dynamic Web page requests.

Exponential growth in online video content makes viewing choice and video promotion increasingly challenging. While explicit recommendation systems have value, they inherently distract the user from normal behaviour and are open to numerous biases. To enhance user interest evaluation accuracy, the purpose of this paper is to comprehensively examine the relationship between implicit feedback and online video content, and reviews gender differentials in the interest indicated by a comprehensive set of viewer responses.

This paper includes 200 useable observations based on an experiment of user interaction with the Youku platform (one of the largest video-hosting websites in China). Logistic regression was employed for its simple interpretation to test the proposed hypotheses.

The findings demonstrate gender differentials in cursor movement behaviour, explainable via well-studied splits in personality, biological factors, primitive behaviour and emotion management. This work offers a solution to the sparsity of work on implicit feedback, contributing to the literature that combines explicit and implicit feedback.

This study offers a launch point for further work on human–computer interaction, and highlights the importance of looking beyond individual metrics to embrace wider human traits in video site design and implementation.

This paper links implicit feedback to online video content for the first time, and demonstrates its value as an interest capturing tool. By reviewing gender differentials in the interest indicated by a comprehensive set of viewer responses, this paper indicates how user characteristics remain critical. Consequently, this work signposts highly fruitful directions for both practitioners and researchers.

There is limited research that utilizes the consequential‐conflictual (CC) approaches, which utilized radical orientation of double loop, second order and reorientation of organizational learning strategies. Both the functional‐institutional (FI) and CC approaches are integrated with the sustainability and ecological resources management literature. The aim of this paper is to fill this research gap.

The paper applies FI and CC sociological approaches.

This paper's contribution to the managerial auditing education literature is based on the proposition that ethics education can improve the moral and ethical reasoning of auditors, when the educational processes incorporate both the FI and CC sociological organizational learning strategies. The paper suggests that ethics education in auditing could benefit from experiential teaching methods utilized in allied applied disciplines of medicine, engineering, and educational psychology.

Sociological approaches have been commonly applied in behavioral managerial accounting and control systems research. This paper extends the FI and CC framework to ethics education in managerial auditing research.

The subject of accounting ethics education is important to auditors. When accounting ethics education utilizes both the FI and CC teaching approaches, the managerial auditing education processes become interactive and cooperative by bringing experiential organizational experiences to the classroom.

Accounting ethics education is shaped by ecological and environmental sustainability concerns. Recently, business school interest and growth in sustainability management has contributed to the integration of ethics education in managerial auditing and accounting contexts, overcoming the shortcomings accounting programs experienced from stand‐alone ethics courses.

The purpose of this paper is to describe a new ontological content‐based filtering method for ranking the relevance of items for readers of news items, and its evaluation. The method has been implemented in ePaper, a personalised electronic newspaper prototype system. The method utilises a hierarchical ontology of news; it considers common and related concepts appearing in a user's profile on the one hand, and in a news item's profile on the other hand, and measures the “hierarchical distances” between these concepts. On that basis it computes the similarity between item and user profiles and rank‐orders the news items according to their relevance to each user.

The paper evaluates the performance of the filtering method in an experimental setting. Each participant read news items obtained from an electronic newspaper and rated their relevance. Independently, the filtering method is applied to the same items and generated, for each participant, a list of news items ranked according to relevance.

The results of the evaluations revealed that the filtering algorithm, which takes into consideration hierarchically related concepts, yielded significantly better results than a filtering method that takes only common concepts into consideration. The paper determined a best set of values (weights) of the hierarchical similarity parameters. It also found out that the quality of filtering improves as the number of items used for implicit updates of the profile increases, and that even with implicitly updated profiles, it is better to start with user‐defined profiles.

The proposed content‐based filtering method can be used for filtering not only news items but items from any domain, and not only with a three‐level hierarchical ontology but any‐level ontology, in any language.

The purpose of this paper is to predict news intent by exploring contextual and temporal features directly mined from a general search engine query log.

First, a ground-truth data set with correctly marked news and non-news queries was built. Second, a detailed analysis of the search goals and topics distribution of news/non-news queries was conducted. Third, three news features, that is, the relationship between entity and contextual words extended from query sessions, topical similarity among clicked results and temporal burst point were obtained. Finally, to understand the utilities of the new features and prior features, extensive prediction experiments on SogouQ (a Chinese search engine query log) were conducted.

News intent can be predicted with high accuracy by using the proposed contextual and temporal features, and the macro average F1 of classification is around 0.8677. Contextual features are more effective than temporal features. All the three new features are useful and significant in improving the accuracy of news intent prediction.

This paper provides a new and different perspective in recognizing queries with news intent without use of such large corpora as social media (e.g. Wikipedia, Twitter and blogs) and news data sets. The research will be helpful for general-purpose search engines to address search intents for news events. In addition, the authors believe that the approaches described here in this paper are general enough to apply to other verticals with dynamic content and interest, such as blog or financial data.

THE publication last month of the long‐anticipated Report of the Departmental Public Libraries Committee is, of course, the principal recent event. It is too long to allow us to give a full account of its arguments and conclusions, and in common with all who work for libraries we must return to it again and again in the future. It may be said, however, that it will allay the fears of those who thought that one result of the Committee's deliberations would be to support and to suggest the implementing of the Report of the Adult Education Committee of the lamented Ministry of Reconstruction, which would have handed over the public libraries of the country as a gift to the directors of education. This report does nothing of the kind; it even suggests that as public opinion is clearly opposed to such a course, the libraries should remain in the hands of those who made them an admitted success even under the adverse conditions of the limited rate. Thus the way is open to real progress, and the very confined conditions which would be a necessary result of the absorption of libraries in the official education machinery are not immediately to be dreaded.

The purpose of this paper is to investigate the effects of celebrity’s poses on consumer attitudes towards the endorsement advertisement by drawing from perceptual fluency hypotheses.

Study 1 used a single-factor, two-condition (distinctive pose and casual pose) between-subject design. Both Study 2a and Study 2b employed a single-factor, two-condition (distinctive pose, casual pose) between-subject design and tested the mediator of pose matchiness. Study 3 employed a 2 (pose condition: distinctive, casual)×2 (cognitive capacity: no load, load) between-subject design to test the moderator. All data were sourced from more than 600 respondents in China.

Study 1 illustrated that the existence of a distinctive pose can lead to higher consumer attitudes regarding advertising stimuli and the endorsed brands as well as more positive behavioural intentions towards endorsed products. Study 2a and Study 2b replicated such finding and demonstrated that the feeling of pose matchiness mediates the relationship between celebrities’ pose and endorsement outcomes. Study 3 further revealed that the cognitive capacity moderates such a relationship, that is, that the effect of a distinctive pose is stronger (lesser) when audiences’ cognitive capacity is loaded (not loaded).

Research efforts to date examining the nature of celebrity advertisement have been limited to celebrity’s faces and facial expressions. Little investigation in the marketing domain has considered the consequences of celebrities’ poses. This study takes the first step in revealing the positive effect of distinctive celebrity poses in product endorsement.

The purpose of this paper is to study the architecture of holographic personalized portal, user modeling, commodity modeling and intelligent interaction.

In this paper, the authors propose crowd-science industrial ecological system based on holographic personalized portal and its interaction. The holographic personality portal is based on holographic enterprises, commodities and consumers, and the personalized portal consists of accurate ontology, reliable supply, intelligent demand and smart cyberspace.

The personalized portal can realize the information acquisition, characteristic analysis and holographic presentation. Then, the intelligent interaction, e.g. demand decomposition, personalized search, personalized presentation and demand prediction, will be implemented within the personalized portal.

The authors believe that their work on intelligent interaction based on holographic personalized portal, which has been first proposed in this paper, is innovation focusing on the interaction between intelligence and convenience.

The paper aims to cover the institutional decision‐making processes behind the decision to add machine readable cataloging records to the library catalog that link to hundreds of thousands of URLs with freely available web content, the management processes making this possible, as well as other more philosophical concerns.

This is a case study conducted at the University of Denver, Penrose Library.

Implementing a URL tracking system, combined with a philosophical decision to follow a proactive URL maintenance approach rather than a reactive one, has resulted in an improved error rate for URL click‐throughs.

The paper addresses URL maintenance issues, staffing solutions, and error rates not addressed elsewhere in the literature.

The headlines of online news are created carefully to influence audience news selection today. The purpose of this paper is to investigate the relationships between news headline presentation and users’ clicking behavior.

Two types of unobtrusive data were collected and analyzed jointly for this purpose. A two-month server log file containing 39,990,200 clickstream records was obtained from an institutional news site. A clickstream data analysis was conducted at the footprint and movement levels, which extracted 98,016 clicks received by 7,120 headlines ever displayed on the homepage. Meanwhile, the presentation of these headlines was characterized from seven dimensions, i.e. position, format, text length, use of numbers, use of punctuation marks, recency and popularity, based on the layout and content crawled from the homepage.

This study identified a series of presentation characteristics that prompted users to click on the headlines, including placing them in the central T-shaped zones, using images, increasing text length properly for greater clarity, using visually distinctive punctuation marks, and providing recency and popularity indicators.

The findings have valuable implications for news providers in attracting clicks to their headlines. Also, the successful application of nonreactive methods has significant implications for future user studies in both information science and journalism.