Title :
Extracting Consumers Needs for New Products - A Web Mining Approach
Author :
Thorleuchter, Dirk ; Van den Poel, Dirk ; Prinzie, Anita
Author_Institution :
Fraunhofer INT, Euskirchen, Germany
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.
Keywords :
Web sites; consumer products; data mining; marketing data processing; product development; Internet log; Web log; Web mining; Web site; blog; consumer needs; marketing; product development; product idea; textual information; Data mining; Information services; Internet; Manufacturing processes; Product development; Text categorization; Text mining; Web mining; Web pages; Web sites; Knowledge Discovery; New Product Development; Text Classification; Web Mining;
Conference_Titel :
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4244-5397-9
Electronic_ISBN :
978-1-4244-5398-6
DOI :
10.1109/WKDD.2010.14