ALTERNATIVE QUERY DISCOVERY FROM THE WEB FOR DAILY MOBILE DECISION SUPPORT
Shun Hattori · 2011
We daily make decisions on whether or not we should do an activity (behavior) and further on whether or not we had better do its alternative activity. If we can acquire the necessary information for making such decisions situation by situation in mobile/ubiquitous computing environments, we would be able to make better decisions and might be happier. So, this paper proposes a Mobile DSS (Decision Support System) that discovers the alternative activities to a mobile user’s intending (original) activity from the Web by using text mining techniques and then automatically generates her/his activity-based query to the existing location-free information retrieval systems such as mobile Web search engines.