Analysis of a very large web search engine query log
ACM SIGIR Forum
Interest-based personalized search
ACM Transactions on Information Systems (TOIS)
Leveraging semantic technologies for enterprise search
Proceedings of the ACM first Ph.D. workshop in CIKM
Standard parameters for searching behaviour in search engines and their empirical evaluation
Journal of Information Science
Discovering and using groups to improve personalized search
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Keyword search on structured and semi-structured data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Keyword search over relational tables and streams
ACM Transactions on Database Systems (TODS)
Personalized social search based on the user's social network
Proceedings of the 18th ACM conference on Information and knowledge management
Inferring search behaviors using partially observable Markov (POM) model
Proceedings of the third ACM international conference on Web search and data mining
Web search solved?: all result rankings the same?
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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Searching information on web turned to a matter of course in the last years. The visualization and filtering of the results of such search queries plays a key-role in different disciplines and is still today under research. In this paper a new approach for classifying the search intention of users' is presented. The approach uses existing and easy parameters for a differentiation between explorative and targeted search. The results of the classification are used for a differentiated presentation based on graphical visualization techniques.