Product-advisory on the web: an information extraction approach

Authors:
Sebastian Schmidt;Stefan Mandl;Bernd Ludwig;Herbert Stoyan
Affiliations:
Chair of Artificial Intelligence, University of Erlangen-Nürnberg, Erlangen, Germany;Chair of Artificial Intelligence, University of Erlangen-Nürnberg, Erlangen, Germany;Chair of Artificial Intelligence, University of Erlangen-Nürnberg, Erlangen, Germany;Chair of Artificial Intelligence, University of Erlangen-Nürnberg, Erlangen, Germany
Venue:
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Year:
2007

Citing 5
Cited 0

Fab: content-based, collaborative recommendation

Communications of the ACM
Question-answering by predictive annotation

SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Content-based filtering and personalization using structured metadata

Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Mining the peanut gallery: opinion extraction and semantic classification of product reviews

WWW '03 Proceedings of the 12th international conference on World Wide Web
Mining and summarizing customer reviews

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a novel approach how to extract technical constraints of a technical product given the user's intended application from the web. This is especially useful in domains where products and applications undergo a steady innovation. The user does not have to be a domain expert to find adequate products anymore. We evaluated our system in the domain of digital cameras and extracted technical constraints such as a short exposure time when the user is mainly interested in sports photography. The extracted constraints are meaningful, if there are enough search results from the search engine for the user's application and the product domain.