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Journal articles on the topic 'Search study'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

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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Saposnik, Florencia E., and Joelene F. Huber. "Trends in Web Searches About the Causes and Treatments of Autism Over the Past 15 Years: Exploratory Infodemiology Study." JMIR Pediatrics and Parenting 3, no. 2 (December 7, 2020): e20913. http://dx.doi.org/10.2196/20913.

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Background Ninety percent of adults in the United States use the internet, and the majority of internet users report looking on the web for health information using search engines. The rising prevalence of autism spectrum disorder (ASD), uncertainty surrounding its etiology, and variety of intervention approaches contribute to questions about its causes and treatments. It is not known which terms people search most frequently about ASD and whether web search queries have changed over time. Infodemiology is an area of health informatics research using big data analytics to understand web search behavior. Objective The objectives were to (1) use infodemiological data to analyze trends in web-based searches about the causes and treatments of ASD over time and (2) inform clinicians and ASD organizations about web queries regarding ASD. Methods Google Trends was used to analyze web searches about the causes and treatments of ASD in the United States from 2004 to 2019. The search terms analyzed for queries about causes of ASD included vaccines, genetics, environmental factors, and microbiome and those for therapies included applied behavior analysis (ABA), gluten-free diet, chelation therapy, marijuana, probiotics, and stem cell therapy. Results Google Trends results are normalized on a scale ranging from 0 to 100 to represent the frequency and relative interest of search topics. For searches about ASD causes, vaccines had the greatest frequency compared to other terms, with an initial search peak observed in 2008 (scaled score of 81), reaching the highest frequency in 2015 (scaled score of 100), and a current upward trend. In comparison, searches about genetics, environmental factors, and microbiome occurred less frequently. For web searches about ASD therapies, ABA consistently had a high frequency of search interest since 2004, reaching a maximum scaled score of 100 in 2019. The analyses of chelation therapy and gluten-free diet showed trending interest in 2005 (scaled score of 68) and 2007 (scaled score of 100), respectively, followed by a steady decline since (scaled scores of only 10 and 16, respectively, in 2019). Searches related to ASD and marijuana showed a rise in 2009 (scaled score of 35), and they continue to trend upward. Searches about probiotics and stem cell therapy have been relatively low (scaled scores of 22 and 18, respectively), but are gradually gaining interest. Web search volumes for stem cell therapy in 2019 surpassed both gluten-free diet and chelation therapy as web-searched interventions for ASD. Conclusions Google Trends is an effective infodemiology tool to analyze large-scale web search trends about ASD. The results showed informative variation in search trends over 15 years. These data are useful to inform clinicians and organizations about web queries on topics related to ASD, identify knowledge gaps, and target web-based education and knowledge translation strategies.

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Tiwari, Hemant. "A Study of Sports Talent Search In Adivasi Areas of Indore Division." International Journal of Physical Education & Sports Sciences 6, no. 1 (October 1, 2013): 0. http://dx.doi.org/10.29070/6/57333.

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Devi. K, Archana, and S. Nitesh S.Nitesh. "A Study on Search Engine Optimization and its Influence on The Users." Paripex - Indian Journal Of Research 3, no. 7 (January 1, 2012): 1–3. http://dx.doi.org/10.15373/22501991/july2014/26.

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Wu, Dan, Rui Qiao, and Yi Li. "A study on location-based mobile map search behavior." Program 50, no. 3 (July 4, 2016): 246–69. http://dx.doi.org/10.1108/prog-11-2015-0074.

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Purpose – Mobile users increasingly employ location-based map searches in their daily lives. However, it is still relatively unknown about mobile users’ map related search behaviors. The purpose of this paper is to discover the interactions between the users and mobile map search systems, to reveal the shortcomings of existing mobile map search functions, and to propose improvement suggestions. Design/methodology/approach – Based on a set of controlled user experiments performed on the Baidu mobile phone map, this paper empirically examines users’ location-based mobile search behaviors, such as timing, metering, judging and so on. This paper also conducts statistical correlation tests to generate relation tables and diagrams regarding each variable, for example, the relation between the retrieval time and the retrieval steps. Findings – The results indicate that mobile map users have two important characteristics in their search behaviors: first, mobile map users always follow the single search path. Second, the mobile map search efficiency of users is always low. Research limitations/implications – The situation simulation testing method is mainly used for the construction of a mobile information search behavior environment, which may make the users be nervous and have some effect on the search efficiency. Practical implications – Based on the identification of user behaviors, this paper provides suggestions to optimize and improve mobile map search systems. Originality/value – This paper studies users’ mobile map search behavior based on location and explores the features of user behavior from the perspective of human-computer interaction.

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Chao, Zoe. "From query analysis to user information needs: a study of campus map searches." Library Hi Tech 34, no. 1 (March 21, 2016): 104–29. http://dx.doi.org/10.1108/lht-12-2014-0110.

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Purpose – Search engines and web applications have evolved to be more tailored toward individual user’s needs, including the individual’s personal preferences and geographic location. By integrating the free Google Maps Application Program Interface with locally stored metadata, the author created an interactive map search for users to locate, and navigate to, destinations on the University of New Mexico (UNM) campus. The purpose of this paper is to identify the characteristics of UNM map search queries, the options and prioritization of the metadata augmentation, and the usefulness and possible improvement of the interface. Design/methodology/approach – Queries, search date/time, and the number of results found were logged and examined. Queries’ search frequency and characteristics were analyzed and categorized. Findings – From November 1, 2012 to September 15, 2013, the author had a total 14,097 visits to the SearchUNM Maps page (http://search.unm.edu/maps/). There were total 5,868 searches (41 percent of all the page visits), and out of all the search instances, 2,297 of them (39 percent) did not retrieve any results. By analyzing the failed queries, the author was able to develop a strategy to increase successful searches. Originality/value – Many academic institutions have implemented interactive map searches for users to find locations and navigate on campus. However, to date there is no related research on how users conduct their searches in such a scope. Based on the query analysis, this paper identifies user’s search behavior and discusses the strategies of improving searches results of campus interactive maps.

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Xu, Chenjie, Xinyu Zhang, and Yaogang Wang. "Mapping of Health Literacy and Social Panic Via Web Search Data During the COVID-19 Public Health Emergency: Infodemiological Study." Journal of Medical Internet Research 22, no. 7 (July 2, 2020): e18831. http://dx.doi.org/10.2196/18831.

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Background Coronavirus disease (COVID-19) is a type of pneumonia caused by a novel coronavirus that was discovered in 2019. As of May 6, 2020, 84,407 cases and 4643 deaths have been confirmed in China. The Chinese population has expressed great concern since the COVID-19 outbreak. Meanwhile, an average of 1 billion people per day are using the Baidu search engine to find COVID-19–related health information. Objective The aim of this paper is to analyze web search data volumes related to COVID-19 in China. Methods We conducted an infodemiological study to analyze web search data volumes related to COVID-19. Using Baidu Index data, we assessed the search frequencies of specific search terms in Baidu to describe the impact of COVID-19 on public health, psychology, behaviors, lifestyles, and social policies (from February 11, 2020, to March 17, 2020). Results The search frequency related to COVID-19 has increased significantly since February 11th. Our heat maps demonstrate that citizens in Wuhan, Hubei Province, express more concern about COVID-19 than citizens from other cities since the outbreak first occurred in Wuhan. Wuhan citizens frequently searched for content related to “medical help,” “protective materials,” and “pandemic progress.” Web searches for “return to work” and “go back to school” have increased eight-fold compared to the previous month. Searches for content related to “closed community and remote office” have continued to rise, and searches for “remote office demand” have risen by 663% from the previous quarter. Employees who have returned to work have mainly engaged in the following web searches: “return to work and prevention measures,” “return to work guarantee policy,” and “time to return to work.” Provinces with large, educated populations (eg, Henan, Hebei, and Shandong) have been focusing on “online education” whereas medium-sized cities have been paying more attention to “online medical care.” Conclusions Our findings suggest that web search data may reflect changes in health literacy, social panic, and prevention and control policies in response to COVID-19.

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Ge, Wei, Cheng De Qin, and Xiao Hong Qin. "Comparative Study on Mobile Search Engines." Applied Mechanics and Materials 533 (February 2014): 436–39. http://dx.doi.org/10.4028/www.scientific.net/amm.533.436.

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On the last day of 2008, China finally agreed to three grant telecom operators licenses to offer the third-generation (3G) services using WCDMA, CDMA 2000, and TD-SCDMA standards. The Issuing of 3G Licenses is going to excite the mobile business, and also expand the broad user basis and development space of the mobile search industry. Today mobile search has become one of the hot topics in the mobile field and the search field, and many giant companies have started action.

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Goodsett, Mandi. "Discovery search tools: a comparative study." Reference Reviews 28, no. 6 (August 12, 2014): 2–8. http://dx.doi.org/10.1108/rr-12-2013-0312.

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Purpose – This review allows librarians to compare three of the major discovery services – EBSCO Discovery Service, Ex Libris’ Primo and Serials Solutions’ Summon – on the basis of price, content, user experience, features and functionality and back-end configuration to make informed decisions about the best tool for their institutions. Design/methodology/approach – The comparisons were made through a literature review, study of the vendors’ websites, several interviews and personal usability testing of each tool. Findings – The tools each have their strengths and weaknesses, and a decision of which tool is most appropriate for an institution varies depending on the institution’s needs and current situation. Originality/value – A literature review shows that no study has yet been conducted comparing these three discovery tools, and few comparative studies of discovery tools have been published recently.

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Zhang, Hong, Yan Hong Ma, Wei Jun Ma, and Zhong Xian Bao. "Study of Distributed Personalized Search Engine." Advanced Materials Research 756-759 (September 2013): 1035–39. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1035.

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Combining distributed computing and data mining techniques, a distributed personalized search engine is put forward to solve the the problems current search engines faced. It has described the theoretical model and algorithmic processing. Under the Hadoop, a distributed platform processing information with Java, the key parts are programmed and implemented. The experimental results show that this theoretical model can improve the accuracy and speed of the user's queries so it can improve the retrieval performance of the search engine.

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Muehlfeld, Katrin Susanne, Diemo Urbig, Utz Weitzel, and Codrin Kruijne. "Entrepreneurs' Search Behavior: An Experimental Study." Academy of Management Proceedings 2012, no. 1 (July 2012): 16783. http://dx.doi.org/10.5465/ambpp.2012.16783abstract.

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Jain, Ranjna, Neelam Duhan, and A. K. Sharma. "Comparative Study on Semantic Search Engines." International Journal of Computer Applications 131, no. 14 (December 17, 2015): 4–11. http://dx.doi.org/10.5120/ijca2015907370.

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Stratton, R. E. "A study in the search process." Rhetoric Review 5, no. 1 (September 1986): 99–105. http://dx.doi.org/10.1080/07350198609359140.

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Verheij, Joke, Evelien Stoutjesdijk, and Jos Beishuizen. "Search and study strategies in hypertext." Computers in Human Behavior 12, no. 1 (March 1996): 1–15. http://dx.doi.org/10.1016/0747-5632(95)00015-1.

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S, Srinithi. "Search Engine Optimization – Study and Analysis." International Journal of Computer Communication and Informatics 2, no. 2 (October 30, 2020): 6–16. http://dx.doi.org/10.34256/ijcci2022.

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Search Engine Optimization is about understanding what people are searching for online, the answers they are seeking, the words they are using, and the type of content they wish to consume. Knowing the answers to these questions will allow you to connect to the people who are searching online for the solutions you offer. Building the onsite and offsite page tactics will help us to build a better site that ranks higher in search and also with better click through rates. Understanding what the users or consumers need and producing the same to them is one of the major factor in the Digital Marketing. Using Analytics tool we can analyze how our site is doing well or not with our intended action will help us to understand our audience better.

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Liu, Ying-Hsang, Paul Thomas, Marijana Bacic, Tom Gedeon, and Xindi Li. "Natural Search User Interfaces for Complex Biomedical Search: An Eye Tracking Study." Journal of the Australian Library and Information Association 66, no. 4 (August 10, 2017): 364–81. http://dx.doi.org/10.1080/24750158.2017.1357915.

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Liu, Qianqian, and Qun Wang. "A comparative study on uncooperative search models in survivor search and rescue." Natural Hazards 89, no. 2 (July 24, 2017): 843–57. http://dx.doi.org/10.1007/s11069-017-2996-y.

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Rajasekhar, Sandhya. "A Study of Health Information Search Behaviour and Its Application among Young Adults." Indian Journal of Youth & Adolescent Health 07, no. 01 (August 25, 2020): 1–6. http://dx.doi.org/10.24321/2349.2880.202001.

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Han, Keunhee, and Chansoo Kim. "Study for the Maximum Bipartite Subgraph Problem Using GRASP + Tabu Search." KIPS Transactions on Software and Data Engineering 3, no. 3 (March 31, 2014): 119–24. http://dx.doi.org/10.3745/ktsde.2014.3.3.119.

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Prata, Ndola, Karen Weidert, Anne Zepecki, Elina Yon, Elizabeth Pleasants, Petrice Sams-Abiodun, and Sylvia Guendelman. "Using Application Programming Interfaces (APIs) to Access Google Data and Gain Insights Into Searches on Birth Control in Louisiana and Mississippi, 2014-2018: Infoveillance Study." Journal of Medical Internet Research 23, no. 7 (July 12, 2021): e25923. http://dx.doi.org/10.2196/25923.

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Background It is now common to search for health information online. A 2013 Pew Research Center survey found that 77% of online health seekers began their query at a search engine. The widespread use of online health information seeking also applies to women’s reproductive health. Despite online interest in birth control, not much is known about related interests and concerns reflected in the search terms in the United States. Objective In this study, we identify the top search terms on Google related to birth control in Louisiana and Mississippi and compare those results to the broader United States, examining how Google searches on birth control have evolved over time and identifying regional variation within states. Methods We accessed search data on birth control from 2014-2018 from 2 Google application programming interfaces (APIs), Google Trends and Google Health Trends. We selected Google as it is the most commonly used search engine. We focused our analysis on data from 2017 and compared with 2018 data as appropriate. To assess trends, we analyzed data from 2014 through 2018. To compare the relative search frequencies of the top queries across Louisiana, Mississippi, and the United States, we used the Google Health Trends API. Relative search volume by designated marketing area (DMA) gave us the rankings of search volume for each birth control method in each DMA as compared to one another. Results Results showed that when people searched for “birth control” in Louisiana and the broader United States, they were searching for information on a diverse spectrum of methods. This differs from Mississippi, where the data indicated people were mainly searching for information related to birth control pills. Across all locations, searches for birth control pills were significantly higher than any other queries related to birth control in the United States, Louisiana, and Mississippi, and this trend remained constant from 2014 to 2018. Regional level analysis showed variations in search traffic for birth control across each state. Conclusions The internet is a growing source of health information for many users, including information on birth control. Understanding popular Google search queries on birth control can inform in-person discussions initiated by family planning practitioners and broader birth control messaging campaigns. International Registered Report Identifier (IRRID) RR2-10.2196/16543

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Guo, Bin, Yueqi Wang, Xiao-Yun Xie, and Yongyi Shou. "Search more deeply or search more broadly? An empirical study of external knowledge search strategy in manufacturing SMEs." Asian Journal of Technology Innovation 23, no. 1 (January 2, 2015): 87–106. http://dx.doi.org/10.1080/19761597.2015.1019177.

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Krüger, Jacob, Christian Lausberger, Ivonne von Nostitz-Wallwitz, Gunter Saake, and Thomas Leich. "Search. Review. Repeat? An empirical study of threats to replicating SLR searches." Empirical Software Engineering 25, no. 1 (August 30, 2019): 627–77. http://dx.doi.org/10.1007/s10664-019-09763-0.

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Makino, Yuichi, Kazuhiko Yokosawa, Yuji Takeda, and Takatsune Kumada. "Visual search and memory search engage extensive overlapping cerebral cortices: an fMRI study." NeuroImage 23, no. 2 (October 2004): 525–33. http://dx.doi.org/10.1016/j.neuroimage.2004.06.026.

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Wang, Yiwei, Jiqun Liu, Soumik Mandal, and Chirag Shah. "Search successes and failures in query segments and search tasks: A field study." Proceedings of the Association for Information Science and Technology 54, no. 1 (January 2017): 436–45. http://dx.doi.org/10.1002/pra2.2017.14505401047.

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Hollink, Vera, Theodora Tsikrika, and Arjen P. de Vries. "Semantic search log analysis: A method and a study on professional image search." Journal of the American Society for Information Science and Technology 62, no. 4 (February 9, 2011): 691–713. http://dx.doi.org/10.1002/asi.21484.

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Catedral, Lance Isidore Garcenila, Louis Mervyn Banua Leones, and Carlo Miguel Berba. "What Filipinos, the world’s number one Internet users, want to know about cancer: A Google search analysis from 2015 to 2019." Journal of Global Oncology 5, suppl (October 7, 2019): 23. http://dx.doi.org/10.1200/jgo.2019.5.suppl.23.

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23 Background: Filipinos were the world’s heaviest Internet users in 2018. It has been shown that they use the Internet to actively search for health-related information, but it has not yet been determined what kinds of information are sought. There is a gap in our present understanding of the information needs of the Filipino population in relation to cancer. The study assessed the cancer-related information needs of Filipinos using Internet search data from March 2015 to May 2019. Methods: A retrospective longitudinal study was done using Google AdWords Keyword Planner to identify search terms related to cancer from Internet users from the Philippines from June 2015 to May 2019. The identified search terms were assessed descriptively using Microsoft Excel version 16.26. The search terms were qualitatively categorized and described. Results: A total of 806 cancer-related search terms were identified, with 13,632,890 Google web searches, during the period under review. The top ten search terms with the highest monthly search volume in the Philippines (n=4,741,600, 34.78%) were “cancer,” “breast cancer,” “cervical cancer,” “prostate cancer,” “colon cancer,” “breast cancer symptoms,” “lung cancer,” “lung cancer symptoms,” “colon cancer symptoms,” and “lungs.” In this time period, Filipinos sought information on cancer-related signs and symptoms (n=3,307,640, 24.26%) and cancer treatment (n=604,070, 4.43%). Filipinos also searched for alternative, herbal, and natural cancer treatments, but the search volume accounted for a low percentage of the total searches (n=8,710, 0.06%). Searches for the search term, “cancer,” were highest on January to February, a trend observed from January 2016 to 2019. Conclusions: Our study provides insight into the cancer-related information needs of the Filipino population. This information may inform the development of targeted, cost-effective awareness campaigns through the Internet, which may be more effective if launched at the beginning of each year.

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Kittur, Miss Shreya M., and Mrs Madhura K. Mane. "A Study on use of Search Engine Optimization with Reference to Sarvana Paints, Kolhapur." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-FIIIIPM2019 (March 20, 2019): 218–21. http://dx.doi.org/10.31142/ijtsrd23106.

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Böhm, Michael, Martin Thoenes, Nicolas Danchin, Jan C. Reil, and Massimo Volpe. "Overview of the i-SEARCH Global Study." High Blood Pressure & Cardiovascular Prevention 15, no. 4 (2008): 217–24. http://dx.doi.org/10.2165/0151642-200815040-00001.

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KimHyungJoon. "A Study on Pretextual Search and Seizure." CHUNG_ANG LAW REVIEW 12, no. 2 (June 2010): 141–65. http://dx.doi.org/10.21759/caulaw.2010.12.2.141.

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Che, Yeon-Koo, Syngjoo Choi, and Jinwoo Kim. "An experimental study of sponsored-search auctions." Games and Economic Behavior 102 (March 2017): 20–43. http://dx.doi.org/10.1016/j.geb.2016.10.008.

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Løberg, E. M., H. A. Jørgensen, and K. Hugdahl. "Visual search in schizophrenia: An explorative study." Schizophrenia Research 41, no. 1 (January 2000): 162. http://dx.doi.org/10.1016/s0920-9964(00)90693-5.

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Cason, Timothy N., and Daniel Friedman. "Buyer search and price dispersion:a laboratory study." Journal of Economic Theory 112, no. 2 (October 2003): 232–60. http://dx.doi.org/10.1016/s0022-0531(03)00135-0.

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Gilly, M. C., J. L. Graham, M. F. Wolfinbarger, and L. J. Yale. "A Dyadic Study of Interpersonal Information Search." Journal of the Academy of Marketing Science 26, no. 2 (April 1, 1998): 83–100. http://dx.doi.org/10.1177/0092070398262001.

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Mohamed, Khaled A., and Ahmed Hassan. "Evaluating Federated Search Tools : A Comparative Study." المجلة الدولية لعلوم المكتبات و المعلومات 1, no. 1 (June 2014): 145–75. http://dx.doi.org/10.12816/0010470.

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Billinger, Stephan, Nils Stieglitz, and Terry R. Schumacher. "Search on Rugged Landscapes: An Experimental Study." Organization Science 25, no. 1 (February 2014): 93–108. http://dx.doi.org/10.1287/orsc.2013.0829.

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Eusebi, Ed, and James A. Brown. "APL2 and AI: a study of search." ACM SIGAPL APL Quote Quad 16, no. 4 (May 1986): 295–300. http://dx.doi.org/10.1145/22008.22051.

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Kokumbaeva, R. I., V. A. Zakhozhay, and A. V. Khruslov. "SEARCH FOR VARIABLE STARS AND THEIR STUDY." Odessa Astronomical Publications 29 (December 1, 2016): 71–73. http://dx.doi.org/10.18524/1810-4215.2016.29.84994.

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Hoeber, Orland. "A longitudinal study of HotMap web search." Online Information Review 37, no. 2 (April 12, 2013): 252–67. http://dx.doi.org/10.1108/oir-09-2011-0153.

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Gilad, B., S. Kaish, and J. Ronen. "Information, search, and entrepreneurship: A pilot study." Journal of Behavioral Economics 18, no. 3 (September 1989): 217–35. http://dx.doi.org/10.1016/0090-5720(89)90024-7.

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Valsecchi, Andrea, Leonardo Vanneschi, and Giancarlo Mauri. "A study of search algorithms’ optimization speed." Journal of Combinatorial Optimization 27, no. 2 (June 23, 2012): 256–70. http://dx.doi.org/10.1007/s10878-012-9514-7.

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Chatterjee, Anjan, Mark Mennemeier, and Kenneth M. Heilman. "Search patterns and neglect: A case study." Neuropsychologia 30, no. 7 (July 1992): 657–72. http://dx.doi.org/10.1016/0028-3932(92)90070-3.

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