Search (5 results, page 1 of 1)

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Abstract

Examines the problem of the association of related times of different media type, specifically photos and stories involved in the automatic generation of electronic editions. Determines to what degree any 2 news items refer to the same news event. This metric can be used: to link multimedia items that can be shown together, such as a video, photo, and text story related to a shipwreck or state visit; and to form clusters of very similar items from a variety of sources so that 1 or 2 can be chosen to represent that event in an edition. Discusses the specific assocoation of text and photo news items, although the approach applies to a larger domain of news including scripted news video clips and sripted radio broadcasts

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Abstract

Electronic news has long held the promise of personalized and dynamic delivery of current event new items, particularly for Web users. Although wlwctronic versions of print news are now widely available, the personalization of that delivery has not yet been accomplished. In this paper, we present a methodology of associating news documents based on the extraction of feature phrases, where feature phrases identify dates, locations, people and organizations. A news representation is created from these feature phrases to define news objects that can then be compared and ranked to find related news items. Unlike tradtional information retrieval, we are much more interested in precision than recall. That is, the user would like to see one or more specifically related articles, rather than all somewhat related articles. The algorithm is designed to work interactively the the user using regular web browsers as the interface

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Abstract

Most on-line news sources are electronic versions of "ink-on-paper" newspapers. These are versions that have been filtered, from the mass of news produced each day, by an editorial board with a given community profile in mind. As readers, we choose the filter rather than choose the stories. New technology, however, provides the potential for personalized versions to be filtered automatically from this mass of news on the basis of user profiles. People read the news for many reasons: to find out "what's going on," to be knowledgeable members of a community, and because the activity itself is pleasurable. Given this, we ask the question, "How much filtering is acceptable to readers?" In this study, an evaluation of user preference for personal editions versus community editions of on-line news was performed. A personalized edition of a local newspaper was created for each subject based on an elliptical model that combined the user profile and community profile as represented by the full edition of the local newspaper. The amount of emphasis given the user profile and the community profile was varied to test the subjects' reactions to different amounts of personalized filtering. The task was simply, "read the news," rather than any subject specific information retrieval task. The results indicate that users prefer the coarse-grained community filters to fine-grained personalized filters

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Abstract

Discusses the concepts of multimedia and hypermedia. Introduces 2 additional multimedia types; computational and directive. These depend on direct interaction with the end user and increase the use of computing facilities within hypermedia presentations. The recognition of interactive media types provide fertile ground for new classes of hypermedia link types. Offers examples from prototype hypermedia systems for maths education and electronic news delivery to illustrate the application of these additional media types

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Abstract

There are close to a billion websites on the Internet with approximately 400 million users worldwide [www.internetworldstats.com]. People go to websites for a wide variety of different information tasks, from finding a restaurant to serious research. Many of the difficulties with searching the Web, as it is structured currently, can be attributed to increases to scale. The content of the Web is now so large that we only have a rough estimate of the number of sites and the range of information is extremely diverse, from blogs and photos to research articles and news videos.