Search (2 results, page 1 of 1)

  • × author_ss:"Eaglestone, B."
  • × author_ss:"Ford, N."
  1. Ford, N.; Eaglestone, B.; Madden, A.; Whittle, M.: Web searching by the "general public" : an individual differences perspective (2009) 0.03 
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    Abstract
    Purpose - The purpose of this paper is to explore the impact of a number of human individual differences on the web searching of a sample of the general public. Design/methodology/approach - In total, 91 members of the general public performed 195 controlled searches. Search activity and ratings of search difficulty and success were recorded and statistically analysed. The study was exploratory, and sought to establish whether there is a prima facie case for further systematic investigation of the selection and combination of variables studied here. Findings - Results revealed a number of interactions between individual differences, the use of different search strategies, and levels of perceived search difficulty and success. The findings also suggest that the open and closed nature of searches may affect these interactions. A conceptual model of these relationships is presented. Practical implications - Better understanding of factors affecting searching may help one to develop more effective search support, whether in the form of personalised search interfaces and mechanisms, adaptive systems, training or help systems. However, the findings reveal a complexity and variability suggesting that there is little immediate prospect of developing any simple model capable of driving such systems. Originality/value - There are several areas of this research that make it unique: the study's focus on a sample of the general public; its use of search logs linked to personal data; its development of a novel search strategy classifier; its temporal modelling of how searches are transformed over time; and its illumination of four different types of experienced searcher, linked to different search behaviours and outcomes.
  2. Whittle, M.; Eaglestone, B.; Ford, N.; Gillet, V.J.; Madden, A.: Data mining of search engine logs (2007) 0.02 
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    Abstract
    This article reports on the development of a novel method for the analysis of Web logs. The method uses techniques that look for similarities between queries and identify sequences of query transformation. It allows sequences of query transformations to be represented as graphical networks, thereby giving a richer view of search behavior than is possible with the usual sequential descriptions. We also perform a basic analysis to study the correlations between observed transformation codes, with results that appear to show evidence of behavior habits. The method was developed using transaction logs from the Excite search engine to provide a tool for an ongoing research project that is endeavoring to develop a greater understanding of Web-based searching by the general public.

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