Collaborative Filtering with RSS

Ingo Schommer

ISBN 10: 3639416082 / ISBN 13: 9783639416084

Published by AV Akademikerverlag Mai 2012, 2012

About this Item

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.

Seller Inventory # 9783639416084

Bibliographic Details

• Title: Collaborative Filtering with RSS
• Publisher: AV Akademikerverlag Mai 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 3639416082
• ISBN 13: 9783639416084
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 125 grams

About this title

Synopsis

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 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".

About the Author

Bachelor of Arts (Honours) in Media Production, University of Applied Sciences Darmstadt.