Issues of context in information retrieval (IR): an introduction to the special issue
Information Processing and Management: an International Journal - Issues of context in information retrieval
Exploiting query history for document ranking in interactive information retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Automatic identification of user interest for personalized search
Proceedings of the 15th international conference on World Wide Web
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Characterizing the value of personalizing search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Using the current browsing context to improve search relevance
Proceedings of the 17th ACM conference on Information and knowledge management
First query term extraction from current webpage for mobile applications
Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
Designing mobile search interface with query term extraction
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Anticipatory search: using context to initiate search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Personalization of web-search using short-term browsing context
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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We investigate a representative case of sudden information need change of Web users. By analyzing search engine query logs, we show that the majority of queries submitted by users after browsing documents in the news domain are related to the most recently browsed document. We investigate ways of identifying whether a query is a good candidate for contextualization conditioned on the most recently browsed document by a user. We build a successful classifier for this task, which achieves 96% precision at 90% recall.