We chose image search log as the resource for event mining, as search logs can directly reflect people’s interests. Moreover, we consider the time factor to be an important element, since different events will develop in different time tendencies. We use celebrities as our test domain, which takes a large percentage of image search traffic. Experiments consisting of Web search traffic on 200 celebrities, for a period of six months, show very encouraging results compared with handcrafted editorial storyboards. This could be an attractive supplement to enrich the existing event description in search result pages.
we use search logs as data source to generate social event storyboards automatically. Unlike common text mining, search logs have short, sparse text queries. The data size is much bigger than some news Web sites or blogs. Based on these features, we do not use the query text information to do the analysis. Structure and statistic information are used to get the topics and event detection in this paper, which can fit the data well.