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A Comparison Study of Clustering or Classification Methods for Search Results Visualization in Web Search Context

Abstract : The amount of information on the Web is steadily growing since its beginning. The number of on-line information retrieval systems has increased in parallel to this amount of information. These have been designed to help the information seeking process and to perform the user final tasks from his perspective (Wilson, 1999). As a result, web search engines are massively used to allow the accomplishment of a large range of environment-dependant and goal-ended tasks (Broder, 2002; Rose & Levinson, 2004; Toms, Freund, Kopak, & Bartlett, 2003). While information retrieval techniques (indexing, organization and ranking) and interactive features have been improved since the last twenty years (Baeza-Yates & Ribeiro-Neto, 1999; Manning, Raghavan, & Schütze, 2008; Shneiderman & Plaisant, 2005), the on-line information retrieval systems still remain hard to use (Borgman, 1996; Markey, 2007a, 2007b) and don't fit the cognitive and affective processes of the information searching tasks efficiently (Ingwersen, 1996; Ingwersen & Järvelin, 2005; Kuhlthau, 2005; Kuhlthau, Heinström, & Todd, 2008).
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Submitted on : Saturday, April 16, 2016 - 5:12:29 PM
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Aline Crédeville. A Comparison Study of Clustering or Classification Methods for Search Results Visualization in Web Search Context. Proceedings of the 2011 Great Lakes Connections Conference: Discourse & Illumination, Edward Benoit, III; Wyatt Ditzler; Marta Magnuson, May 2011, Milwaukee, United States. https://www.google.ca/url?sa=t&rct=j&q=&esrc=s&source=web&cd=4&cad=rja&uact=8&ved=0ahUKEwjug_e-tJPMAhWGsIMKHevHAPcQFgguMAM&url=http%3A%2F%2Fdc.uwm.edu%2Fcgi%2Fviewcontent.cgi%3Farticle%3D1000%26context%3Dsois_student&usg=AFQjCNFGAVQ05eu7Nuno6kraUqj6Dd8a5w&sig2=bz0IVykPYuYFKYmdmXh40A&bvm=bv.119745492,d.amc. ⟨sic_01303191⟩



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