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Seeks to demonstrate how, with regard to viewing video on the internet, the delay experienced, whilst the stream is being buffered, can be virtually eradicated.

Documents a scheduled rich site summary (RSS) multimedia prototype which utilizes idle computer time (at night) to subscribe to media RSS channels in order to download audio and video content.

Finds that, a part from involving zero display, the quality of the operation is controlled only by the size of the hard disk not by the capacity of the connection.

The system documented here will serve users at either end of the RSS feed chain.

The complexity of the firm’s external environment, with its constant changes, forces managers to develop novel strategies that can meet new strategic needs. The purpose of this study is to examine the role of reward systems (RSs) in strategic management, as well as their relationship to learning and entrepreneurial orientation (EO), commonly referred to as the driving force behind growth, competitive advantages (CAs) and improved performance. It also focuses on the study of the relationship between EO and business performance (BP), the introduction and testing of the possible antecedents of this relationship and potential mediating factors.

A conceptual model was tested on a sample of 1,190 Portuguese firms using a structural equation model.

It is shown for the first time that learning orientation (LO) is an antecedent of the RSs and, subsequently, of EO. Additionally, the CAs of differentiation and cost leadership play a mediating role in the relationship between EO and BP. Furthermore, RSs are also a driving force behind both CAs.

This study makes several empirical and theoretical contributions, addressing the gap in the literature about the role of RSs in strategic management. It tests the relationship between LO and the firm’s performance by taking the mediating effects of RSs, EO and CAs into account. Additionally, we discuss LO as an antecedent strategic variable of human resources practices, in particular, RSs. Finally, we broaden the scope of our research by examining these issues in the context of Portuguese SMEs from different industries.

Tens of thousands of news articles are posted online each day, covering topics from politics to science to current events. To better cope with this overwhelming volume of information, RSS (news) feeds are used to categorize newly posted articles. Nonetheless, most RSS users must filter through many articles within the same or different RSS feeds to locate articles pertaining to their particular interests. Due to the large number of news articles in individual RSS feeds, there is a need for further organizing articles to aid users in locating non‐redundant, informative, and related articles of interest quickly. This paper aims to address these issues.

The paper presents a novel approach which uses the word‐correlation factors in a fuzzy set information retrieval model to: filter out redundant news articles from RSS feeds; shed less‐informative articles from the non‐redundant ones; and cluster the remaining informative articles according to the fuzzy equivalence classes on the news articles.

The clustering approach requires little overhead or computational costs, and experimental results have shown that it outperforms other existing, well‐known clustering approaches.

The clustering approach as proposed in this paper applies only to RSS news articles; however, it can be extended to other application domains.

The developed clustering tool is highly efficient and effective in filtering and classifying RSS news articles and does not employ any labor‐intensive user‐feedback strategy. Therefore, it can be implemented in real‐world RSS feeds to aid users in locating RSS news articles of interest.

Aims to report a novel method of filtering RSS feeds for obtaining more precise and related information without having to browse through all the incoming feeds.

Improve relevance ratio of incoming RSS feeds with configurable filtering phrases on feed title and feed page content. More relevant RSS feeds are obtained when additional semantically related synonym filtering phrases are used.

Finds that filtering leads to more precise RSS feeds and extending the filtering phrase with synonym semantic can increase the number of relevant feeds by 3‐5 times.

The system documented here has been found to be able to help RSS feeds subscribers to browse fewer items with higher matching rate.

The applications of artificial intelligence (AI), natural language processing and machine learning in e-commerce are growing. Recommender systems (RSs) are interaction-based technologies based on AI that can offer recommendations for products for use or of interest to a potential consumer. Curiosity, focused immersion and temporal dissociation are often treated as the dimensions of cognitive absorption, so exploring them separately can provide valuable insights into their dynamics. The paper aims to determine the effect of the cognitive absorption dimensions namely focused immersion, temporal dissociation and curiosity independently on RSs continuous use intention.

A quantitative research design was used to explore the effect of dimensions of cognitive absorption on AI-driven RSs continuous use intention in e-commerce. Data were gathered from 452 active users of Amazon through an online cross-sectional survey and were analysed using partial least squares structural equation modelling.

The findings indicated that curiosity and focused immersion directly affect RSs continuous use intention, but temporal dissociation does not affect RSs continuous use intention.

The current research focused on Amazon’s RSs that use AI and machine learning techniques. The research aimed to empirically explore the effects of the dimensions of cognitive absorption separately on AI-driven RSs continuous use intention in e-commerce. This research may be of interest to executives working in both public and private industries to better harness the potential of recommendations driven by AI to maximize RSs’ reuse and to enhance customer loyalty.

The number of library‐related RSS and Atom applications is increasing daily. But, as yet, the formats and technology involved are far from stable. This article looks at the current state of the field, discusses future developments and considers implications for the library.

This aim of this article is to propose a technical solution for digital libraries to establish the information needs ontology based on a comprehensive understanding of personalized user information needs and offer an information push service by really simple syndication (RSS) in a ubiquitous computing environment.

First, the authors formalize an ontology model applicable to the ubiquitous computing environment to describe user information needs comprehensively. The information needs related to the user's research activities are regarded as the ontology, which is described with web ontology language (OWL), and thus an ontology knowledgebase is established. Second, in light of the user's explicit information needs, the digital library finds the hidden information needs from the ontology knowledgebase, and also extracts the information resources required by the user from the corresponding database and then pushes them to the user by means of RSS. Finally, users can browse through a man‐machine interface to access the information.

After these steps, an RSS information push service architecture is established based on the user information needs ontology, providing the users with dynamic, personalized and proactive information services.

The innovation of this research lies in the fact that the architecture that is put forward is helpful to improve the accuracy and integrity of information push service of digital library, and is also beneficial for the research on u‐library.

The purpose of this paper is to provide an overview of the application of Rich Site Summary (RSS) in academic and public libraries emphasizing characteristic features and purposes of use. It seeks to highlight the degree of adoption of RSS in different regions and also between different types of libraries.

Convenience sampling method was followed to select four samples of population, one from each of four continents. Data were collected, using the content analysis method, along the checkpoints developed after consulting various literature and web sites. Data analysis was performed using Microsoft Excel.

The findings highlighted the basic features of RSS applied in libraries and the specific purposes of its use around the globe, underlining the areas where RSS is most effectively implemented. Disparities were revealed in RSS adoption between academic and public libraries, which may be attributed to diverse user profiles across different social spheres. Though there is little difference between libraries in North America and Australia with regard to the extension of RSS implementation, its adoption is considerably higher in North American libraries. However, the disproportionate use of RSS may be attributed to the differential internet penetration rate across the continents.

The current study was restricted to four continents – North America, Europe, Asia and Australia, and the survey was completely internet based, conducted on library web sites accessible to all and available in English. Content analysis, combined with questionnaire and interview method may enable future researchers to focus on other aspects, such as the impact of RSS on users' and librarians' attitudes and perceptions. This, in turn, may help measure how far library web sites using RSS are capable of motivating and engaging users in harnessing web‐based library facilities and services.

Being an exhaustive assessment of one of the most viable library initiated net‐based functionalities; the findings provide concrete evidence of the applications of RSS in libraries across the continents. The findings will guide future librarians toward using library web sites effectively to provide web‐based information services, enhancing sustainability and service values.

Recent years have seen “really simple syndication” or “rich site summary”(RSS) syndication of frequently updated content become ubiquitous across the internet. RSS's XML‐based format allows these data to be stored in a semi‐structured format but, despite the presence of online aggregators and readers, and the related work in clustering feeds and mining subjects by keywords, much potentially useful information present in RSS may remain undiscovered. This paper aims to address this issue in an experimental setting.

This paper presents two distinct technologies which employ the semi‐structured nature of RSS content to allow users to mine information directly from raw RSS feeds: occurrence mining counts occurrences of text strings in feeds, whilst value mining mines structured ticker tape numeric data. It describes both technologies and their implementation in an experiment, where 35 students mined small numbers of RSS feeds and visualised the data mined.

This paper analyses the results of the experiment and cites examples of data mined and visualisations produced. The subject matter of data mined is also explored and potential applications of the technologies are considered.

The mining technologies proposed in this paper have been developed to mine textual and numeric data directly from feeds, but can be extended to mine other data types present in RSS and to include other variants like Atom.

These technologies are seen to be applicable to data mining, the role of data and visualisations in social data analysis, issue tracking in news mining and time series analysis.

To describe new features and functionality of blogging and share a range of applications in the library environment.

Demonstrates the range of applications and suggests that this is a new information medium that is likely to have a keen presence for a long while as more users engage in the related activities and depend on Blogs and RSS for their sources of information.

Implementations in ways librarians never expected are now becoming common and the role of blogging and the challenges associated with tracking content on blogs remains of great interest. The wide spectrum of information sources and functionality of blogs proves to be ever‐changing.

Provides library community new ideas in how to implement blogs that will serve users in creative, positive and meaningful ways.