Evaluating Search Results in Exploratory Search

  • Authors

    • Mohammed Najah Mahdi
    • Abdul Rahim Ahmad
    • Roslan Ismail
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.35.22746
  • Information Retrieval, Search Engine, Exploratory Search, Faceted Search Engine
  • Abstract

    The volume of information available on the World Wide Web is quite significant. This plethora of information has, to a large extent constantly challenged researchers in seeking for ways of making the information easily accessible to end users in as convenient ways as possible. Characteristically, ensuring the accessibility of this large amount of information involves three all-encompassing processes of retrieval, organization and presentation. The World Wide Web offers a platform for sharing information from large database repositories globally. However, information needs to be searched with specialized tools commonly referred to as search engines. While a number of search engines does presently exist, most of these search engines are noted for their inability to retrieve information usable to the end user. It is therefore critical for the results generated from search engines to be intelligently organized for the optimal usefulness of the information to the searcher. Exploratory web technologies is capable of filing this gap. Therefore, this paper reviews exploratory search as a mechanism for conducting result-oriented search. It also reviews the ways of evaluating the search results obtained from an exploratory search.

  • References

    1. [1] A. Chandurkar and A. Bansal, "Information Retrieval from a Structured KnowledgeBase," in Semantic Computing (ICSC), 2017 IEEE 11th International Conference on, 2017, pp. 407-412.

      [2] R. Campos, G. l. Dias, A. M. Jorge, and A. Jatowt, "Survey of temporal information retrieval and related applications," ACM Computing Surveys (CSUR), vol. 47, p. 15, 2014.

      [3] D.-I. D. Backhausen, "Adaptive User Support in Interactive Information Retrieval Processes," 2017.

      [4] J. Xu and W. B. Croft, "Quary Expansion Using Local and Global Document Analysis," SIGIR Forum, vol. 51, pp. 168-175, 2017.

      [5] A. N. Langville and C. D. Meyer, Google's PageRank and beyond: The science of search engine rankings: Princeton University Press, 2011.

      [6] B. Kitchenham, R. Pretorius, D. Budgen, O. P. Brereton, M. Turner, M. Niazi, et al., "Systematic literature reviews in software engineering–a tertiary study," Information and Software Technology, vol. 52, pp. 792-805, 2010.

      [7] A. Figueroa and G. Neumann, "Context-aware semantic classification of search queries for browsing community question–answering archives," Knowledge-Based Systems, vol. 96, pp. 1-13, 2016.

      [8] R. Qumsiyeh and Y.-K. Ng, "Searching web documents using a summarization approach," International Journal of Web Information Systems, vol. 12, pp. 83-101, 2016.

      [9] G. Simonini and S. Zhu, "Big data exploration with faceted browsing," in High Performance Computing & Simulation (HPCS), 2015 International Conference on, 2015, pp. 541-544.

      [10] B. Kules and B. Shneiderman, "Users can change their web search tactics: Design guidelines for categorized overviews," Information Processing & Management, vol. 44, pp. 463-484, 2008.

      [11] M. Kathuria, C. Nagpal, and N. Duhan, "Journey of Web Search Engines: Milestones, Challenges & Innovations," 2016.

      [12] Z. Huang and N. Mamoulis, "Location-Aware Query Recommendation for Search Engines at Scale," in International Symposium on Spatial and Temporal Databases, 2017, pp. 203-220.

      [13] Y. Chen, G. Y. Jeon, and Y.-M. Kim, "A day without a search engine: an experimental study of online and offline searches," Experimental Economics, vol. 17, pp. 512-536, 2014.

      [14] M. Levene, An introduction to search engines and web navigation: John Wiley & Sons, 2011.

      [15] V. Ramaswamy, R. Konow, A. Trotman, J. Degenhardt, and N. Whyte, "Document Reordering is Good, Especially for e-Commerce," 2017.

      [16] B. J. Jansen and A. Spink, "How are we searching the World Wide Web? A comparison of nine search engine transaction logs," Information Processing & Management, vol. 42, pp. 248-263, 2006.

      [17] S. Dutta, "Access to the Web Resources through Google: a Brief Study in Popularity and Service Features," International Journal of Innovative Knowledge Concepts, vol. 2, 2016.

      [18] M. Peshave and K. Dezhgosha, "How Search Engines Work: And a Web Crawler Application," Citeseer, 2005.

      [19] U. Directory, "Umdum Helps You Find the Perfect Websites While Avoiding all the Junk," 2018.

      [20] A. Schuth, "Search engines that learn from their users," 2016.

      [21] S. Goel and S. Yadav, "Search engine evaluation based on page level keywords," in Advance Computing Conference (IACC), 2013 IEEE 3rd International, 2013, pp. 870-876.

      [22] Z. Dou, Z. Jiang, S. Hu, J.-R. Wen, and R. Song, "Automatically mining facets for queries from their search results," IEEE Transactions on Knowledge and Data Engineering, vol. 28, pp. 385-397, 2016.

      [23] D. Sullivan, "How search engines work," SEARCH ENGINE WATCH, at http://www. searchenginewatch. com/webmasters/work. html (last updated June 26, 2001)(on file with the New York University Journal of Legislation and Public Policy), 2002.

      [24] H. Agrawal and S. Yadav, "Search Engine Results Improvement--A Review," in Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on, 2015, pp. 180-185.

      [25] B. Sarrafzadeh and E. Lank, "Improving Exploratory Search Experience through Hierarchical Knowledge Graphs," in Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017, pp. 145-154.

      [26] G. Singer, "Web search engines and complex information needs, Doctoral dissertation," Doctoral dissertation, 2012.

      [27] G. Marchionini, "Exploratory search: from finding to understanding," Communications of the ACM, vol. 49, pp. 41-46, 2006.

      [28] R. W. White and R. A. Roth, "Exploratory search: beyond the query-response paradigm (Synthesis lectures on information concepts, retrieval & services)," Morgan and Claypool Publishers, vol. 3, 2009.

      [29] L. Gao, Y. Lu, Q. Zhang, H. Yang, and Y. Hu, "Query expansion for exploratory search with subtopic discovery in Community Question Answering," in Neural Networks (IJCNN), 2016 International Joint Conference on, 2016, pp. 4715-4720.

      [30] R. W. White, G. Marchionini, and G. Muresan, "Evaluating exploratory search systems: Introduction to special topic issue of information processing and management," ed: Pergamon, 2008.

      [31] D. Tunkelang, "Faceted search," Synthesis lectures on information concepts, retrieval, and services, vol. 1, pp. 1-80, 2009.

      [32] W. Kong and J. Allan, "Precision-Oriented Query Facet Extraction," in Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016, pp. 1433-1442.

      [33] M. N. Mahdi, A. R. Ahmad, and R. Ismail, "A Real Time Visual Exploratory Search Engine for Information Retrieval in a Cloud," International Journal of Future Computer and Communication, vol. 4, p. 216, 2015.

      [34] D. R. Harris, "Modeling Faceted Browsing with Category Theory for Reuse and Interoperability," 2017.

      [35] M. N. Mahdi, A. R. Ahmad, and R. Ismail, "Paradigm Extension of Faceted Search Techniques A Review," Journal of Telecommunication, Electronic and Computer Engineering (JTEC), vol. 9, pp. 149-153, 2017.

      [36] C. Li, N. Yan, S. B. Roy, L. Lisham, and G. Das, "Facetedpedia: dynamic generation of query-dependent faceted interfaces for wikipedia," in Proceedings of the 19th international conference on World wide web, 2010, pp. 651-660.

      [37] S. Quinton and L. Simkin, "The digital journey: Reflected learnings and emerging challenges," International Journal of Management Reviews, vol. 19, pp. 455-472, 2017.

      [38] R. Kelly and S. J. Payne, "Collaborative web search in context: a study of tool use in everyday tasks," in Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing, 2014, pp. 807-819.

      [39] H. Wachsmuth, M. Potthast, K. Al Khatib, Y. Ajjour, J. Puschmann, J. Qu, et al., "Building an argument search engine for the web," in Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 49-59.

      [40] J. Savoy, "Why do successful search systems fail for some topics," in Proceedings of the 2007 ACM symposium on Applied computing, 2007, pp. 872-877.

      [41] J. Azimi, A. Alam, and R. Zhang, "Ads keyword rewriting using search engine results," in Proceedings of the 24th International Conference on World Wide Web, 2015, pp. 3-4.

      [42] M. Dunaiski, J. Geldenhuys, and W. Visser, "How to evaluate rankings of academic entities using test data," Journal of Informetrics, vol. 12, pp. 631-655, 2018.

      [43] C. Cleverdon, J. Mills, and E. Keen, "An inquiry in testing of information retrieval systems.(2 vols.)," Cranfileld, UK: Aslib Cranfield Research Project, College of Aeronautics, 1966.

      [44] P. Sirotkin, "On Search Engine Evaluation Metrics," arXiv preprint arXiv:1302.2318, 2013.

  • Downloads

  • How to Cite

    Mahdi, M. N., Ahmad, A. R., & Ismail, R. (2018). Evaluating Search Results in Exploratory Search. International Journal of Engineering & Technology, 7(4.35), 276-281. https://doi.org/10.14419/ijet.v7i4.35.22746

    Received date: 2018-12-01

    Accepted date: 2018-12-01

    Published date: 2018-11-30