Users Want More Sophisticated Search Assistants Results of a Task-Based Evaluation∗ Udo Kruschwitz and Hala Al-Bakour Department of Computer Science, University of Essex Wivenhoe Park, Colchester, CO4 3SQ, United Kingd

First Page		Document Content
Date: 2004-10-15 10:04:10 Information science Information retrieval Natural language processing Internet search engines Computational linguistics Database Search engine indexing Google Search Question answering Ranking Enterprise search Web query classification		Users Want More Sophisticated Search Assistants Results of a Task-Based Evaluation∗ Udo Kruschwitz and Hala Al-Bakour Department of Computer Science, University of Essex Wivenhoe Park, Colchester, CO4 3SQ, United Kingd Add to Reading List Source URL: cswww.essex.ac.uk Download Document from Source Website File Size: 487,99 KB Share Document on Facebook

	Freenet: A Distributed Anonymous Information Storage and Retrieval System Ian Clarke1 , Oskar Sandberg2 , Brandon Wiley3 , and Theodore W. Hong4? 1 4 DocID: 1xU1S - View Document
	Translation Term Weighting and Combining Translation Resources in Cross-Language Retrieval Aitao Chen, and Fredric Gey School of Information Management and Systems DocID: 1voyg - View Document
	Proceedings on Privacy Enhancing Technologies ; ):184–201 Raphael R. Toledo, George Danezis, and Ian Goldberg Lower-Cost -Private Information Retrieval Abstract: Private Information Retrieval (PIR), despite be DocID: 1vkX2 - View Document
	Modeling Latent Topic Interactions using Quantum Interference for Information Retrieval Alessandro Sordoni Jing He DocID: 1vklT - View Document
	Information Retrieval Ein Überblick Ingo Frommholz Universität Duisburg-Essen DocID: 1vhAi - View Document