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  4. Extracting consumers needs for new products
 
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2010
Conference Paper
Titel

Extracting consumers needs for new products

Titel Supplements
A web mining approach
Abstract
Here we introduce a web mining approach for automatically identifying new product ideas extracted from web logs. A web log - also known as blog - is a web site that provides commentary, news, and further information on a subject written by individual persons. We can find a large amount of web logs for nearly each topic where consumers present their needs for new products. These new product ideas probably are valuable for producers as well as for researchers and developers. This is because they can lead to a new product development process. Finding these new product ideas is a well-known task in marketing. Therefore, with this automatic approach we support marketing activities by extracting new and useful product ideas from textual information in internet logs. This approach is implemented by a web-based application named Product Idea Web Log Miner where users from the marketing department provide descriptions of existing products. As a result, new product ideas are extracted from the web logs and presented to the users.
Author(s)
Thorleuchter, D.
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Poel, D. van den
Ghent University, Faculty of Economics and Business Administration
Prinzie, A.
Ghent University, Faculty of Economics and Business Administration
Hauptwerk
Third international conference on knowledge discovery and data mining, WKDD 2010
Konferenz
International Conference on Knowledge Discovery and Data Mining (WKDD) 2010
DOI
10.1109/WKDD.2010.14
File(s)
001.pdf (356.8 KB)
Language
English
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Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Tags
  • Website

  • consumer product

  • data mining

  • marketing data proces...

  • product development

  • knowledge discovery

  • text classification

  • web mining

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