Recent popularity of web-enabled mobile devices such as handheld devices and PDAs has made mobile Internet access very popular. However, considering the limitation of mobile devic...
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Organizations like the Internet Archive have been capturing Web contents over decades, building up huge repositories of time-versioned pages. The timestamp annotations and the she...
Gerhard Weikum, Nikos Ntarmos, Marc Spaniol, Peter...
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...