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Extracting consumers needs for new products

A web mining approach
 
: Thorleuchter, D.; Poel, D. van den; Prinzie, A.

:
Postprint urn:nbn:de:0011-n-1298055 (356 KByte PDF)
MD5 Fingerprint: 5cb14a78a507f4ebbc4819b74589eeef
Erstellt am: 1.6.2011


IEEE Computer Society:
Third international conference on knowledge discovery and data mining, WKDD 2010 : 9-10 Jan. 2010, Phuket
Los Alamitos, Calif.: IEEE Computer Society Press, 2010
ISBN: 978-1-4244-5397-9
S.440-443
International Conference on Knowledge Discovery and Data Mining (WKDD) <3, 2010, Phuket/Thailand>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer INT ()
Website; consumer product; data mining; marketing data processing; product development; knowledge discovery; text classification; web mining

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.

: http://publica.fraunhofer.de/dokumente/N-129805.html