Automatic segmentation of text into structured records
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Unsupervised query segmentation using generative language models and wikipedia
Proceedings of the 17th international conference on World Wide Web
Structured annotations of web queries
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Building re-usable dictionary repositories for real-world text mining
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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Shopping online has become a prolific activity as the number of online vendors and consumers continue to rise each year. In 2009, almost $15 billion in goods and services were ordered online by Canadians [1]. About 53% of these consumers 'window shop' by doing product research before actually making a purchase. Therefore, it is important that online vendors provide up-to-date and accurate product information to assist users in making educated decisions. In this poster, we present a tool that discovers product features, which will assist vendors and consumers to more accurately compare products in the online marketplace