Efficient web browsing on handheld devices using page and form summarization
ACM Transactions on Information Systems (TOIS)
Exploring Small Screen Digital Library Access with the Greenstone Digital Library
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Generating hierarchical summaries for web searches
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Using keyphrases as search result surrogates on small screen devices
Personal and Ubiquitous Computing
Concept Data Analysis: Theory and Applications
Concept Data Analysis: Theory and Applications
A personalized search engine based on web-snippet hierarchical clustering
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Predicting navigation patterns on the mobile-internet using time of the week
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Mobile findex: supporting mobile web search with automatic result categories
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
Progress in information retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
How Do Users Search the Mobile Web with a Clustering Interface?: A Longitudinal Study
International Journal of Mobile Human Computer Interaction
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Although mobile information retrieval is seen as the next frontier of the search market, the rendering of results on mobile devices is still unsatisfactory. We present Credino, a clustering engine for PDAs based on the theory of concept lattices that can help overcome some specific challenges posed by small-screen, narrow-band devices. Credino is probably the first clustering engine for mobile devices freely available for testing on the Web. An experimental evaluation, besides confirming that finding information is more difficult on a PDA than on a desktop computer, suggests that mobile clustering engine is more effective than mobile search engine.