Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Seeing the whole in parts: text summarization for web browsing on handheld devices
Proceedings of the 10th international conference on World Wide Web
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A personalized search engine based on Web-snippet hierarchical clustering
Software—Practice & Experience
Informative Polythetic Hierarchical Ephemeral Clustering
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Using ephemeral clustering and query logs to organize web image search results on mobile devices
IMMPD '11 Proceedings of the 2011 international ACM workshop on Interactive multimedia on mobile and portable devices
Proceedings of the 2nd Temporal Web Analytics Workshop
Improving suffix tree clustering with new ranking and similarity measures
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
Proceedings of the 21st ACM international conference on Information and knowledge management
How Do Users Search the Mobile Web with a Clustering Interface?: A Longitudinal Study
International Journal of Mobile Human Computer Interaction
Disambiguating Implicit Temporal Queries by Clustering Top Relevant Dates in Web Snippets
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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The shift in human computer interaction from desktop computing to mobile interaction highly influences the needs for new designed interfaces. In this paper, we address the issue of searching for information on mobile devices, an area also known as Mobile Information Retrieval. In particular, we propose to summarize as much as possible the information retrieved by any search engine to allow universal access to information.