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Revision with unchanged content. The increasing amount of information on the internet makes it hard to filter out relevant parts. Every second hundreds of news-articles and blog-entries are written. A subscriber to this constant stream of information quickly looses overview - a typical needle-in-a-haystack problem. Especially in the field of news-reading, software can help to increase efficiency by personalized filtering mechanisms. This filtering can be predictive based on previous user-choices, but also heeds the power of social networks: Users help each other by marking relevant information. The author Ingo Schommer investigates the conceptual and practical development of a web-based news-reader with advanced filtering features. Research is conducted in the field of information visualization and filtering as well as in competitive products and their shortcomings. The solution will mainly target pro-users who are already accustomed with news-reading, the modern "information junkies".
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Bachelor of Arts (Honours) in Media Production, University of Applied Sciences Darmstadt.
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Collaborative Filtering with RSS
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AV Akademikerverlag Mai 2012, 2012
ISBN 10: 3639416082
ISBN 13: 9783639416084
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. The increasing amount of information on the internet makes it hard to filter out relevant parts. Every second hundreds of news-articles and blog-entries are written. A subscriber to this constant stream of information quickly looses overview a typical needle-in-a-haystack problem. Especially in the field of news-reading, software can help to increase effi cien cy by personalized filtering mechanisms. This filtering can be predictive based on previous user-choices, but also heeds the power of social networks: Users help each other by marking relevant information. The author Ingo Schommer investigates the conceptual and practical de ve lop ment of a web-based news-reader with advanced filtering features. Research is conducted in the field of information visualization and filtering as well as in competitive products and their shortcomings. The solution will mainly target pro-users who are already accustomed with news-reading, the modern 'information junkies'. 72 pp. Englisch. Codice articolo 9783639416084
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Collaborative Filtering with RSS: Research and development.
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Collaborative Filtering with RSS
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Schommer IngoBachelor of Arts (Honours) in Media Production, University of Applied Sciences Darmstadt.Revision with unchanged content. The increasing amount of information on the internet makes it hard to filter out relevant part. Codice articolo 4985823
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Collaborative Filtering with RSS
Editore:
AV Akademikerverlag Mai 2012, 2012
ISBN 10: 3639416082
ISBN 13: 9783639416084
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. The increasing amount of information on the internet makes it hard to filter out relevant parts. Every second hundreds of news-articles and blog-entries are written. A subscriber to this constant stream of information quickly looses overview - a typical needle-in-a-haystack problem. Especially in the field of news-reading, software can help to increase efficiency by personalized filtering mechanisms. This filtering can be predictive based on previous user-choices, but also heeds the power of social networks: Users help each other by marking relevant information. The author Ingo Schommer investigates the conceptual and practical development of a web-based news-reader with advanced filtering features. Research is conducted in the field of information visualization and filtering as well as in competitive products and their shortcomings. The solution will mainly target pro-users who are already accustomed with news-reading, the modern 'information junkies'.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Codice articolo 9783639416084
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Collaborative Filtering with RSS : Research and development of a social feed-reader
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. The increasing amount of information on the internet makes it hard to filter out relevant parts. Every second hundreds of news-articles and blog-entries are written. A subscriber to this constant stream of information quickly looses overview a typical needle-in-a-haystack problem. Especially in the field of news-reading, software can help to increase effi cien cy by personalized filtering mechanisms. This filtering can be predictive based on previous user-choices, but also heeds the power of social networks: Users help each other by marking relevant information. The author Ingo Schommer investigates the conceptual and practical de ve lop ment of a web-based news-reader with advanced filtering features. Research is conducted in the field of information visualization and filtering as well as in competitive products and their shortcomings. The solution will mainly target pro-users who are already accustomed with news-reading, the modern 'information junkies'. Codice articolo 9783639416084
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Collaborative Filtering with RSS | Research and development of a social feed-reader
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Taschenbuch. Condizione: Neu. Collaborative Filtering with RSS | Research and development of a social feed-reader | Ingo Schommer | Taschenbuch | 72 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639416084 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 106438640
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