Abstract
The extensive amount of results obtained from any Web search operation and loads of related and/or irrelevant hits presented on the user’s screen are still poses challenges in the information retrieval field of study; especially if the user is an academic researcher and is looking for reliable and focused results. Therefore, improving the performance of Web search engines continues to be an active research topic. One of the biggest challenges to search engine optimization is when a user submits incomplete query statements or fragmented keywords. Using broken or fragmented keywords the semantic correlation will fail to result in inconsistent and outsized search results. This oversized (or overloaded) problem can be mitigated by utilizing the Exploratory Search technique with a faceted search refining mechanism. This study’s main goal is to present a short review of the existing Exploratory Search techniques and faceted search implementations and shed light on the main limitations and shortcomings.
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Acknowledgments
This research was sponsored and supported under the Universiti Tenaga Nasional (UNITEN) internal grant no J510050783 (2018). Many thanks to the Innovation and Research Management Center (iRMC), UNITEN who provided their assistance and expertise during the research.
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Mahdi, M.N., Ahmad, A.R., Qassim, Q.S., Subhi, M.A. (2021). Use of Faceted Search: The Effect on Researchers. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science(), vol 13051. Springer, Cham. https://doi.org/10.1007/978-3-030-90235-3_24
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DOI: https://doi.org/10.1007/978-3-030-90235-3_24
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