With search services over the Web as major sources of information, there is an increasing demand to learn more about what people need and how they search on the net. Through analysis of transaction logs, certain users’ search behaviors could be observed. This paper presents the analysis of search term logs from two real-world search engines in Taiwan. Some preliminary results have been obtained, including characteristics of users and their searching needs. Several problems with building taxonomic schemes and classifying search terms are also discussed. The findings are valuable for understanding network information retrieval research, and library & information service applications.
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