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Companies website optimising concerning consumer's searching for new products

 
: Thorleuchter, Dirk; Poel, Dirk van den

:
Postprint urn:nbn:de:0011-n-1910408 (191 KByte PDF)
MD5 Fingerprint: 9a6c31a7276c2f29d94f619fb72ba0f6
© 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 22.12.2011


Institute of Electrical and Electronics Engineers -IEEE-:
International Conference on Uncertainty Reasoning and Knowledge Engineering, URKE 2011. Proceedings. Vol.1 : 4-7 August 2011, Bali, Indonesia
Piscataway/NJ: IEEE, 2011
ISBN: 978-1-4244-9985-4 (Print)
ISBN: 978-1-4244-9983-0
S.40-43
International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE) <1, 2011, Bali>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer INT ()
web mining; text classification; text mining; knowledge discovery

Abstract
In this paper, we focus on consumer's needs for new products. Normally consumers search for these new products in internet by using a web search engine. They focus on websites of specific selected enterprises where they suppose the existence of such new products. Very often, consumers only get information from enterprise websites about existing products. However, these products do not fulfill consumer's needs for new products. Then, they probably request the enterprise hotline to ask for these new products. The manual response process is time und cost consuming. If we identify consumer's needs for new products by time then we easily can preview consumers search queries and their intention. With this information, we can support marketing professionals to optimize the enterprise website concerning consumer's searching for new product ideas. Therefore in this paper, we present a semi-automatically approach that firstly extracts consumer's needs for new products from the internet and that secondly compares these new product ideas with existing or future products from the enterprise. After company's decision to realize the new product ideas as product in future or not, the approach thirdly gives recommendation to marketing professionals for optimizing an enterprise website in a way that consumers find information about their new needs. This increases customer satisfaction and reduces expenditure of time and cost.

: http://publica.fraunhofer.de/dokumente/N-191040.html