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Academic literature on the topic 'Search study'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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Journal articles on the topic "Search study"

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Saleh, Ahlam A., Melissa A. Ratajeski, and Marnie Bertolet. "Grey Literature Searching for Health Sciences Systematic Reviews: A Prospective Study of Time Spent and Resources Utilized." Evidence Based Library and Information Practice 9, no. 3 (September 6, 2014): 28. http://dx.doi.org/10.18438/b8dw3k.

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Abstract Objective – To identify estimates of time taken to search grey literature in support of health sciences systematic reviews and to identify searcher or systematic review characteristics that may impact resource selection or time spent searching. Methods – A survey was electronically distributed to searchers embarking on a new systematic review. Characteristics of the searcher and systematic review were collected along with time spent searching and what resources were searched. Time and resources were tabulated and resources were categorized as grey or non-grey. Data was analyzed using Kruskal-Wallis tests. Results – Out of 81 original respondents, 21% followed through with completion of the surveys in their entirety. The median time spent searching all resources was 471 minutes, and of those a median of 85 minutes were spent searching grey literature. The median number of resources used in a systematic review search was four and the median number of grey literature sources searched was two. The amount of time spent searching was influenced by whether the systematic review was grant funded. Additionally, the number of resources searched was impacted by institution type and whether systematic review training was received. Conclusions – This study characterized the amount of time for conducting systematic review searches including searching the grey literature, in addition to the number and types of resources used. This may aid searchers in planning their time, along with providing benchmark information for future studies. This paper contributes by quantifying current grey literature search patterns and associating them with searcher and review characteristics. Further discussion and research into the search approach for grey literature in support of systematic reviews is encouraged.

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Asch, Jeremy M., David A. Asch, Elissa V. Klinger, Justine Marks, Norah Sadek, and Raina M. Merchant. "Google search histories of patients presenting to an emergency department: an observational study." BMJ Open 9, no. 2 (February 2019): e024791. http://dx.doi.org/10.1136/bmjopen-2018-024791.

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ObjectiveTo test patients’ willingness to share and link their prior Google search histories with data from their electronic medical record (EMR), and to explore associations between search histories and clinical conditions.DesignCross-sectional study of emergency department (ED) patients from 2016 to 2017.SettingAcademic medical centre ED.ParticipantsA total of 703 patients were approached; 334 of a volunteer sample of 411 (81%) reported having a Google account; 165 of those (49%) consented to share their Google search histories and EMR data; 119 (72%) were able to do so. 16 (13%) of those 119 patients had no data and were not included in the final count. Patients under the age of 18 or with a triage level of 1 were considered ineligible and were not approached.Main outcome measuresHealth relatedness of searches in the remote past and within 7 days of the ED visit, and associations between patients’ clinical and demographic characteristics and their internet search volume and search content.ResultsThe 103 participants yielded 591 421 unique search queries; 37 469 (6%) were health related. In the 7 days prior to an ED visit, the percentage of health-related searches was 15%. During that time, 56% of patients searched for symptoms, 53% for information about a hospital and 23% about the treatment or management of a disease. 53% of participants who used Google in the week leading up to their ED visit searched for content directly related to their chief complaint.ConclusionsPatients were willing to allow researchers simultaneous access to their Google search histories and their EMR data. The change in volume and content of search activity prior to an ED visit suggests opportunities to anticipate and improve health care utilisation in advance of ED visits.

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Banerjee, Aneesh, Joseph Lampel, and Ajay Bhalla. "Problematizing Problmistic Search: An Experimental Study of Search Heterogeneity." Academy of Management Proceedings 2017, no. 1 (August 2017): 15216. http://dx.doi.org/10.5465/ambpp.2017.15216abstract.

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Zhang, Jin, Xin Cai, Taowen Le, Wei Fei, and Feicheng Ma. "A Study on Effective Measurement of Search Results from Search Engines." Journal of Global Information Management 27, no. 1 (January 2019): 196–221. http://dx.doi.org/10.4018/jgim.2019010110.

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This article describes how as internet technology continues to change and improve lives and societies worldwide, effective global information management becomes increasingly critical, and effective Internet information retrieval systems become more and more significant in providing Internet users worldwide with accurate and complete information. Search engine evaluation is an important research field as search engines directly determine the quality of information users' Internet searches. Relevance-decrease pattern/model plays an important role in search engine result evaluation. This research studies effective measurement of search results through investigating relevance-decrease patterns of search results from two popular search engines: Google and Bing. The findings can be applied to relevance-evaluation of search results from other information retrieval systems such as OPAC, can help make search engine evaluations more accurate and sound, and can provide global information management personnel with valuable insights.

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Lee, Sang-Kyung, Kwang-Enu Ko, and Kwee-Bo Sim. "Study on Improvement of Convergence in Harmony Search Algorithms." Journal of Korean Institute of Intelligent Systems 21, no. 3 (June 25, 2011): 401–6. http://dx.doi.org/10.5391/jkiis.2011.21.3.401.

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Colaric, Susan M. "Instruction for Web Searching: An Empirical Study." College & Research Libraries 64, no. 2 (March 1, 2003): 111–22. http://dx.doi.org/10.5860/crl.64.2.111.

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Users searching the Web have difficulty using search engines and developing queries. Searches tend to be simple, and Boolean operators are used infrequently and incorrectly. Users also are unaware that search engines operate differently from other information retrieval systems. Yet, there is little research on effective instructional methods for teaching users how to search the Web. Research has looked at instructional methods for other types of information retrieval, but these systems differ a great deal from the Web. The purpose of this study was to determine what undergraduate students know about search engines and to examine instructional treatments to aid searchers in using a search engine.

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Singh, Dr J. N. "Study on Search Engine Optimization." International Journal for Research in Applied Science and Engineering Technology 8, no. 5 (May 31, 2020): 2572–76. http://dx.doi.org/10.22214/ijraset.2020.5426.

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Han, Suk Won. "Search for Capacity-Limited and Super-Capacity Search." Experimental Psychology 64, no. 3 (May 2017): 149–58. http://dx.doi.org/10.1027/1618-3169/a000356.

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Abstract. The present study investigated capacity limitations of visual search. In a series of experiments, participants searched for a singleton target among homogenous distractors, a conjunction target defined by combination of two features, or a feature target among heterogeneous distractors. Using the simultaneous-sequential paradigm, I found that singleton search proceeded in a capacity-unlimited manner. By contrast, the performance of the conjunction search was found to depend on a capacity-limited process. For feature searches, the performance of searching for a specific color was not affected by how the stimuli were presented, while the orientation search performance was enhanced as the number of distractors simultaneously presented with the target increased. These results imply that distinct colors are individually coded, whereas multiple orientations are encoded as an ensemble in a structured way. Taken together, the present study clarifies which type of search process are capacity-limited and reveals how this limit can be overcome.

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Craven, Jenny, and Paul Levay. "Recording Database Searches for Systematic Reviews - What is the Value of Adding a Narrative to Peer-Review Checklists? A Case Study of NICE Interventional Procedures Guidance." Evidence Based Library and Information Practice 6, no. 4 (December 15, 2011): 72. http://dx.doi.org/10.18438/b8cd09.

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This paper discusses the value of open and transparent methods for recording systematic database search strategies, showing how they have been applied at the National Institute for Health and Clinical Excellence (NICE) in the United Kingdom (UK). Objective – The objectives are to: 1) Discuss the value of search strategy recording methods. 2) Assess any limitations to the practical application of a checklist approach. 3) Make recommendations for recording systematic database searches. Methods – The procedures for recording searches for Interventional Procedures Guidance at NICE were examined. A sample of current methods for recording systematic searches identified in the literature was compared to the NICE processes. The case study analyses the search conducted for evidence about an interventional procedure and shows the practical issues involved in recording the database strategies. The case study explores why relevant papers were not retrieved by a search strategy meeting all of the criteria on the checklist used to peer review it. The evidence was required for guidance on non-rigid stabilisation techniques for the treatment of low back pain. Results – The analysis shows that amending the MEDLINE strategy to make it more sensitive would have increased its yield by 6614 articles. Examination of the search records together with correspondence between the analyst and the searcher reveals the peer reviewer had approved the search because its sensitivity was appropriate for the purpose of producing Interventional Procedures Guidance. The case study demonstrates the limitations of relying on a checklist to ensure the quality of a database search without having any contextual information. Conclusion – It is difficult for the peer reviewer to assess the subjective elements of a search without knowing why it has a particular structure or what the searcher intended. There is a risk that the peer reviewer will concentrate on the technical details, such as spelling mistakes, without having the contextual information. It is beneficial if the searcher records correspondence on key decisions and reports a summary alongside the search strategy. The narrative describes the major decisions that shaped the strategy and gives the peer reviewer an insight into the rationale for the search approach.

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Nguyen, Phuong-Anh, and Chong-Wah Ngo. "Interactive Search vs. Automatic Search." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 2 (June 2021): 1–24. http://dx.doi.org/10.1145/3429457.

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This article conducts user evaluation to study the performance difference between interactive and automatic search. Particularly, the study aims to provide empirical insights of how the performance landscape of video search changes, with tens of thousands of concept detectors freely available to exploit for query formulation. We compare three types of search modes: free-to-play (i.e., search from scratch), non-free-to-play (i.e., search by inspecting results provided by automatic search), and automatic search including concept-free and concept-based retrieval paradigms. The study involves a total of 40 participants; each performs interactive search over 15 queries of various difficulty levels using two search modes on the IACC.3 dataset provided by TRECVid organizers. The study suggests that the performance of automatic search is still far behind interactive search. Furthermore, providing users with the result of automatic search for exploration does not show obvious advantage over asking users to search from scratch. The study also analyzes user behavior to reveal insights of how users compose queries, browse results, and discover new query terms for search, which can serve as guideline for future research of both interactive and automatic search.

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Dissertations / Theses on the topic "Search study"

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Yating, Zhang. "A Study on Object Search and Relationship Search from Text Archive Data." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/217201.

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Umemoto, Kazutoshi. "A Study on Fine-Grained User Behavior Analysis in Web Search." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/215679.

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Bannerman, Brenda B. "A search for healing, a phenomenological study." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ62464.pdf.

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Shimizu, Toshiyuki. "A study on document-centric XML search." 京都大学 (Kyoto University), 2008. http://hdl.handle.net/2433/136007.

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Ahmed, Ayesha. "A study of object concept development using search and non-search A not B tasks." Thesis, University of Sussex, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363356.

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Marshall, P. S. "A search for novel crop pesticides in plants via phytalexin induction." Thesis, University of Reading, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380845.

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Velazquez, Elio. "Mobile agents in distributed search, a comparative study." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ57761.pdf.

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Velazquez, Elio Carleton University Dissertation Computer Science. "Mobile agents in distributed search: a comparative study." Ottawa, 2001.

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POTHIRATTANACHAIKUL, SUPPANUT. "A Study on Understanding and Encouraging Alternative Information Search." Kyoto University, 2020. http://hdl.handle.net/2433/259073.

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Bengtlars, Ann, and Erik Väljamets. "Optimization of Pile Groups : A practical study using Genetic Algorithm and Direct Search with four different objective functions." Thesis, KTH, Bro- och stålbyggnad, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146832.

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Piling is expensive but often necessary when building large structures, for example bridges. Some pile types, such as steel core piles, are very costly and it is therefore of great interest to keep the number piles in a pile group to a minimum. This thesis deals with optimization of pile groups with respect to placement, batter and angle of rotation in order to minimize the number of piles. A program has been developed, where two optimization algorithms named Genetic Algorithm and Direct Search, and four objective functions have been used. These have been tested and compared to find the most suitable for pile group optimization. Three real cases, two bridge supports and one culvert, have been studied, using the program. It has been difficult to draw any clear conclusions since the results have been ambiguous. This is probably because only three cases have been tested and the results are very problemdependent.The outcome depends, for example, on the starting guess and settings for the optimization. However, the results show that the Genetic Algorithm is somewhat more robust in its ability to remove piles than Direct Search and is therefore to prefer in pile group optimization.

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Books on the topic "Search study"

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Ontario Council of University Libraries. Scholars Portal Search Working Group. Scholars Portal Search user study report. [s.l: OCUL, 2005.

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Stone, Geoffrey R. Search and seizure: A study guide. [Rockville, MD]: U.S. Dept. of Justice, National Institute of Justice, 1986.

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In search of music education. Urbana: University of Illinois Press, 1997.

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Foster, George N. Exhaustive legal search: Illustrated. Buffalo, N.Y: W.S. Hein Co., 1988.

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Rizvi, S. H. M. In search of roots: A study of ethnogenesis. Delhi: B.R. Pub. Corp., 1994.

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World order discourses: Search for alternatives. Jaipur: Rawat Publications, 2011.

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Rueben, Natalka. Search for norms, 1918-1945 (O.A.C.). Kingston, ON: History Teachers' Counselling Service, 1989.

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Halton, Mary Ann. In search of Europe: Resource pack. [Dublin]: Department of Education, 1996.

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Stewart, James B. Flight in search of vision. Trenton, New Jersey: Africa World Press, 2004.

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Flight in search of vision. Trenton NJ: Africa World Press, 2004.

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Book chapters on the topic "Search study"

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Steier, D. M., and A. P. Anderson. "Depth-First Search." In Algorithm Synthesis: A Comparative Study, 47–62. New York, NY: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-8877-7_5.

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Mehta, Deep. "Splunk Search Processing Language." In Splunk Certified Study Guide, 27–52. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6669-4_2.

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Mattfeld, Dirk C. "A Computational Study." In Evolutionary Search and the Job Shop, 131–42. Heidelberg: Physica-Verlag HD, 1996. http://dx.doi.org/10.1007/978-3-662-11712-5_8.

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Mishne, Gilad, and Maarten de Rijke. "A Study of Blog Search." In Lecture Notes in Computer Science, 289–301. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11735106_26.

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Rhodes, R. A. W. "In Search of Australian Political Science." In The Australian Study of Politics, 1–15. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230296848_1.

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Petke, Justyna, and Alexander E. I. Brownlee. "Software Improvement with Gin: A Case Study." In Search-Based Software Engineering, 183–89. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27455-9_14.

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Mehta, Deep. "Infrastructure Planning with Indexer and Search Head Clustering." In Splunk Certified Study Guide, 275–315. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6669-4_13.

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Zhang, Weixiong. "A Study of Branch-and-Bound on the Asymmetric Traveling Salesman Problem." In State-Space Search, 92–116. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1538-7_6.

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Ragkhitwetsagul, Chaiyong, Matheus Paixao, Manal Adham, Saheed Busari, Jens Krinke, and John H. Drake. "Searching for Configurations in Clone Evaluation – A Replication Study." In Search Based Software Engineering, 250–56. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47106-8_20.

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Kiani, Mahsa, Virendrakumar C. Bhavsar, and Harold Boley. "Similarity of Attributed Generalized Tree Structures: A Comparative Study." In Similarity Search and Applications, 150–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25087-8_14.

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Conference papers on the topic "Search study"

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Tseng, Yuen-Hsien, and Yi-Jen Wu. "A study of search tactics for patentability search." In Proceeding of the 1st ACM workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1458572.1458581.

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Kumar, Sarowar, Kumar Abhishek, Abhay Kumar, and M. P. Singh. "Comprehensive Study of Search Engine." In International Conference on Recent Advances in Mathematics, Statistics and Computer Science 2015. WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789814704830_0059.

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Yu, R. F., and Z. X. Kong. "Study on visual search strategy for three-target search task." In EM 2011). IEEE, 2011. http://dx.doi.org/10.1109/icieem.2011.6035393.

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Hui, Liu, and Cao Yonghui. "Study of Heuristic Search and Exhaustive Search in Search Algorithms of the Structural Learning." In 2010 Second International Conference on Multimedia and Information Technology. IEEE, 2010. http://dx.doi.org/10.1109/mmit.2010.163.

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Sankepally, Anooksha, and Bin Zhou. "An Aggregate Search Model for Web Search Engines: An Empirical Study." In 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2013. http://dx.doi.org/10.1109/wi-iat.2013.201.

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"RESEARCHING SEARCH - A Study into Search Engine Marketing Practices in Ireland." In International Conference on E-business. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001910703390346.

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Hui, Zhou, Qin Shigang, Liu Jinhua, and Chen Jianli. "Study on Website Search Engine Optimization." In 2012 International Conference on Computer Science and Service System (CSSS). IEEE, 2012. http://dx.doi.org/10.1109/csss.2012.236.

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Sizintsev, Mikhail, Konstantinos G. Derpanis, and Andrew Hogue. "Histogram-based search: A comparative study." In 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2008. http://dx.doi.org/10.1109/cvpr.2008.4587654.

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Zhang, Hong, Yanhong Ma, Weijun Ma, and Zhongxian BAO. "Study of Distributed Personalized Search Engine." In 2nd International Conference on Computer and Information Applications (ICCIA 2012). Paris, France: Atlantis Press, 2012. http://dx.doi.org/10.2991/iccia.2012.436.

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Sheela, A. C. Santha, and C. Jayakumar. "Comparative Study of Syntactic Search Engine and Semantic Search Engine: A Survey." In 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). IEEE, 2019. http://dx.doi.org/10.1109/iconstem.2019.8918837.

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Reports on the topic "Search study"

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Endicott, D. L., and G. R. Kuhl. The Fast Area Search System (FASS). A Feasibility Study. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada263295.

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Brown, Garrett Ryan. Sensitivity Study for Low Mass Dark Matter Search at DUNE. Office of Scientific and Technical Information (OSTI), April 2018. http://dx.doi.org/10.2172/1462086.

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Salz, Tobias. Intermediation and Competition in Search Markets: An Empirical Case Study. Cambridge, MA: National Bureau of Economic Research, August 2020. http://dx.doi.org/10.3386/w27700.

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Huber, George P. A Study of Organizational Information Search, Acquisition, Storage and Retrieval. Fort Belvoir, VA: Defense Technical Information Center, August 1986. http://dx.doi.org/10.21236/ada172063.

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Kuyk, Thomas, Lei Liu, and Elizabeth Belleau. Visual Search in the Detection of Retinal Injury: A Feasibility Study. Fort Belvoir, VA: Defense Technical Information Center, April 2013. http://dx.doi.org/10.21236/ada588593.

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Paynter, Robin A., Celia Fiordalisi, Elizabeth Stoeger, Eileen Erinoff, Robin Featherstone, Christiane Voisin, and Gaelen P. Adam. A Prospective Comparison of Evidence Synthesis Search Strategies Developed With and Without Text-Mining Tools. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepcmethodsprospectivecomparison.

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Background: In an era of explosive growth in biomedical evidence, improving systematic review (SR) search processes is increasingly critical. Text-mining tools (TMTs) are a potentially powerful resource to improve and streamline search strategy development. Two types of TMTs are especially of interest to searchers: word frequency (useful for identifying most used keyword terms, e.g., PubReminer) and clustering (visualizing common themes, e.g., Carrot2). Objectives: The objectives of this study were to compare the benefits and trade-offs of searches with and without the use of TMTs for evidence synthesis products in real world settings. Specific questions included: (1) Do TMTs decrease the time spent developing search strategies? (2) How do TMTs affect the sensitivity and yield of searches? (3) Do TMTs identify groups of records that can be safely excluded in the search evaluation step? (4) Does the complexity of a systematic review topic affect TMT performance? In addition to quantitative data, we collected librarians' comments on their experiences using TMTs to explore when and how these new tools may be useful in systematic review search¬¬ creation. Methods: In this prospective comparative study, we included seven SR projects, and classified them into simple or complex topics. The project librarian used conventional “usual practice” (UP) methods to create the MEDLINE search strategy, while a paired TMT librarian simultaneously and independently created a search strategy using a variety of TMTs. TMT librarians could choose one or more freely available TMTs per category from a pre-selected list in each of three categories: (1) keyword/phrase tools: AntConc, PubReMiner; (2) subject term tools: MeSH on Demand, PubReMiner, Yale MeSH Analyzer; and (3) strategy evaluation tools: Carrot2, VOSviewer. We collected results from both MEDLINE searches (with and without TMTs), coded every citation’s origin (UP or TMT respectively), deduplicated them, and then sent the citation library to the review team for screening. When the draft report was submitted, we used the final list of included citations to calculate the sensitivity, precision, and number-needed-to-read for each search (with and without TMTs). Separately, we tracked the time spent on various aspects of search creation by each librarian. Simple and complex topics were analyzed separately to provide insight into whether TMTs could be more useful for one type of topic or another. Results: Across all reviews, UP searches seemed to perform better than TMT, but because of the small sample size, none of these differences was statistically significant. UP searches were slightly more sensitive (92% [95% confidence intervals (CI) 85–99%]) than TMT searches (84.9% [95% CI 74.4–95.4%]). The mean number-needed-to-read was 83 (SD 34) for UP and 90 (SD 68) for TMT. Keyword and subject term development using TMTs generally took less time than those developed using UP alone. The average total time was 12 hours (SD 8) to create a complete search strategy by UP librarians, and 5 hours (SD 2) for the TMT librarians. TMTs neither affected search evaluation time nor improved identification of exclusion concepts (irrelevant records) that can be safely removed from the search set. Conclusion: Across all reviews but one, TMT searches were less sensitive than UP searches. For simple SR topics (i.e., single indication–single drug), TMT searches were slightly less sensitive, but reduced time spent in search design. For complex SR topics (e.g., multicomponent interventions), TMT searches were less sensitive than UP searches; nevertheless, in complex reviews, they identified unique eligible citations not found by the UP searches. TMT searches also reduced time spent in search strategy development. For all evidence synthesis types, TMT searches may be more efficient in reviews where comprehensiveness is not paramount, or as an adjunct to UP for evidence syntheses, because they can identify unique includable citations. If TMTs were easier to learn and use, their utility would be increased.

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Davis, Judy. In Search of Roots: A Study of Camus' Autobiographical Le Premier Homme. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6761.

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Beauceron, Stephanie. Search for Higgs in $W^+ H$ channel and Study of $W^+$ bbbar Production. Office of Scientific and Technical Information (OSTI), May 2004. http://dx.doi.org/10.2172/1419194.

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Leeson, William R. Study of atmospheric neutrino interactions and search for nucleon decay in Soudan 2. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/204073.

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Wiggins, Helen. The Study of Environmental Arctic Change (SEARCH) Arctic Futures 2050 Conference (Final Report). Office of Scientific and Technical Information (OSTI), October 2020. http://dx.doi.org/10.2172/1672141.

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