Comparative study of search engine result visualisation: ranked lists versus graphs

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Abstract

Typically search engine results (SERs) are presented in a ranked list of decreasing estimated relevance to user queries. While familiar to users, ranked lists do not show inherent connections between SERs, e.g. whether SERs are hyper-linked or authored by the same source. Such potentially useful connections between SERs can be displayed as graphs. We present a preliminary comparative study of ranked lists vs graph visualisations of SERs. Experiments with TREC web search data and a small user study of 10 participants show that ranked lists result in more precise and also faster search sessions than graph visualisations.

Original languageEnglish
Title of host publicationProceedings of the 3rd European Workshop on Human-Computer Interaction and Information Retrieval co-located with the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2013)
EditorsMax L. Wilson, Tony Russell-Rose , Birger Larsen, Preben Hansen, Kristian Norling
Number of pages4
Publication date2013
Pages27-30
Publication statusPublished - 2013
Event3rd European Workshop on Human-Computer Interaction and Information Retrieval - Dublin, Ireland
Duration: 1 Aug 20131 Aug 2013
Conference number: 3

Conference

Conference3rd European Workshop on Human-Computer Interaction and Information Retrieval
Number3
Country/TerritoryIreland
CityDublin
Period01/08/201301/08/2013
SeriesCEUR Workshop Proceedings
Volume1033
ISSN1613-0073

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