Extending information retrieval system model to improve interactive web searching.

Tan, Kok Fong (2005) Extending information retrieval system model to improve interactive web searching. PhD thesis, Middlesex University.

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Abstract

The research set out with the broad objective of developing new tools to support Web information searching. A survey showed that a substantial number of interactive search tools were being developed but little work on how these new developments fitted into the general aim of helping people find information. Due to this it proved difficult to compare and analyse how tools help and affect users and where they belong in a general scheme of information search tools. A key reason for a lack of better information searching tools was identified in the ill-suited nature of existing information retrieval system models. The traditional information retrieval model is extended by synthesising work in information retrieval and information seeking research. The purpose of this new holistic search model is to assist information system practitioners in identifying, hypothesising, designing and evaluating Web information searching tools. Using the model, a term relevance feedback tool called ‘Tag and Keyword’ (TKy) was developed in a Web browser and it was hypothesised that it could improve query reformulation and reduce unnecessary browsing. The tool was laboratory experimented and quantitative analysis showed statistical significances in increased query reformulations and in reduced Web browsing (per query). Subjects were interviewed after the experiment and qualitative analysis revealed that they found the tool useful and saved time. Interestingly, exploratory analysis on collected data identified three different methods in which subjects had utilised the TKy tool. The research developed a holistic search model for Web searching and demonstrated that it can be used to hypothesise, design and evaluate information searching tools. Information system practitioners using it can better understand the context in which their search tools are developed and how these relate to users’ search processes and other search tools.

Item Type:Thesis (PhD)
Additional Information:

A Doctoral Thesis submitted in partial fulfîlment of the requirement for the award of Doctor of Philosophy from Middlesex University.

Research Areas:Theses
School of Science and Technology > Computer and Communications Engineering
ID Code:8027
Deposited On:22 Jul 2011 06:16
Last Modified:18 Jul 2014 21:31

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