Analysis of a very large web search engine query log
ACM SIGIR Forum
Pocket Bargain Finder: A Handheld Device for Augmented Commerce
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Further into the wild: running worldwide trials of mobile systems
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
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Mobile shopping assistants have been subject to research in the field of ubiquitous and pervasive computing for many years. Now the wide adoption of mobile shopping applications for smartphones allows evaluation on a large scale. To study how consumers actually use these applications, we analyze server logs of a mobile bargain finder application for the iPhone used by 33,000 users over a period of six months. In this paper we discuss our approach, the methods we have used, and some challenges and limitations we have encountered. First results indicate that contrary to the focus of most research in the field the application is used rather from home than at the point of sale or on the go.