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Journal articles on the topic 'Internet Search Queries'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Bondarenko, Yulia, Solomiya Ohinok, Artur Kisiołek, and Oleh Karyy. "Interest in universities based on search queries on the Internet." Innovative Marketing 17, no. 3 (2021): 179–90. http://dx.doi.org/10.21511/im.17(3).2021.15.

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The improvement of global Internet access and the COVID-19 pandemic, which necessitated mass testing of online teaching methods, have forwarded the competition between higher education institutions from the regional level and the struggle for the rich student into the competition for students in all countries. The paper aims to determine the influence of the rating of higher education institutions on the interest of Internet users by conducting a comparative analysis of the popularity of the official names of higher education institutions in search queries in Ukraine and Poland. To do this, a

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Dorius, Shawn F., and Jeffrey Swindle. "Developmental Idealism in Internet Search Data." Sociology of Development 5, no. 3 (2019): 286–313. http://dx.doi.org/10.1525/sod.2019.5.3.286.

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Scholarship on developmental idealism demonstrates that ordinary people around the world tend to perceive the level of development and the specific characteristics of different countries similarly. We build on this literature by examining public perceptions of nations and development in internet search data, which we argue offers insights into public perceptions that survey data do not address. Our analysis finds that developmental idealism is prevalent in international internet search queries about countries. A consistent mental image of national development emerges from the traits publics as

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Hochberg, Irit, Sharon Orshalimy, and Elad Yom-Tov. "Real-World Evidence on the Effect of Missing an Oral Contraceptive Dose: Analysis of Internet Search Engine Queries." Journal of Medical Internet Research 22, no. 9 (2020): e20632. http://dx.doi.org/10.2196/20632.

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Background Oral contraceptives (OCs) are a unique chronic medication with which a memory slip may result in a threat that could change a person’s life course. Subjective concerns of missed OC doses among women have been addressed infrequently. Anonymized queries to internet search engines provide unique access to concerns and information gaps faced by a large number of internet users. Objective We aimed to quantitate the frequency of queries by women seeking information in an internet search engine, after missing one or more doses of an OC; their further queries on emergency contraception, abo

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Kim, Dongha, JongRoul Woo, Jungwoo Shin, Jongsu Lee, and Yongdai Kim. "Can search engine data improve accuracy of demand forecasting for new products? Evidence from automotive market." Industrial Management & Data Systems 119, no. 5 (2019): 1089–103. http://dx.doi.org/10.1108/imds-08-2018-0347.

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Purpose The purpose of this paper is to analyze the relationship between new product diffusion and consumer internet search patterns using big data and to investigate whether such data can be used in forecasting new product diffusion. Design/methodology/approach This research proposes a new product diffusion model based on the Bass diffusion model by incorporating consumer internet search behavior. Actual data from search engine queries and new vehicle sales for each vehicle class and region are used to estimate the proposed model. Statistical analyses are used to interpret the estimated resul

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Mohamadi, Fakhrosadat. "Optimized Expansion of Search Queries Using ERIC Online Thesaurus and its Impact on Precision of Outcome and User's Search Time." Information Science and Technology 24, no. 4 (2009): 29–52. https://doi.org/10.5281/zenodo.13963162.

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The development of search queries aims to improve relevant results or obtain suitable resources for current or future research, and it often occurs when users are dissatisfied with their search results or have not obtained sufficient results. Language control tools, particularly continuous thesauri, are considered resources for developing search queries. Accordingly, this article attempts to empirically demonstrate the impact of using terms from the ERIC thesaurus on the optimal development of search queries.  For implementation, the "Initial Assessment of Internet Search Skills" question

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Nitzburg, George, Ingmar Weber, and Elad Yom-Tov. "Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis." Journal of Medical Internet Research 21, no. 5 (2019): e10946. http://dx.doi.org/10.2196/10946.

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Background Brief intervention is a critical method for identifying patients with problematic substance use in primary care settings and for motivating them to consider treatment options. However, despite considerable evidence of delay discounting in patients with substance use disorders, most brief advice by physicians focuses on the long-term negative medical consequences, which may not be the best way to motivate patients to seek treatment information. Objective Identification of the specific symptoms that most motivate individuals to seek treatment information may offer insights for further

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RAMOS, HENRIQUE PINTO, KADJA KATHERINE MENDES RIBEIRO, and MARCELO SCHERER PERLIN. "THE FORECASTING POWER OF INTERNET SEARCH QUERIES IN THE BRAZILIAN FINANCIAL MARKET." RAM. Revista de Administração Mackenzie 18, no. 2 (2017): 184–210. http://dx.doi.org/10.1590/1678-69712017/administracao.v18n2p184-210.

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ABSTRACT Purpose: To analyze the predictability of Google's search queries in the Brazilian financial market. Originality/gap/relevance/implications: Despite a growing foreign literature using Google's search query data, there is no acknowledgement of work on this area in Brazil. An application to the Brazilian financial market shows new sources of information about market movements and may contribute to researchers and practitioners to understand how changes in specific search queries affect the market. Key methodological aspects: Following previous studies, we estimate VAR models and Granger

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Yang, Jun, Yutong Zhang, Yixiong Xiao, et al. "Using Internet Search Queries to Assess Public Awareness of the Healthy Cities Approach: A Case Study in Shenzhen, China." International Journal of Environmental Research and Public Health 18, no. 8 (2021): 4264. http://dx.doi.org/10.3390/ijerph18084264.

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Cities around the globe are embracing the Healthy Cities approach to address urban health challenges. Public awareness is vital for successfully deploying this approach but is rarely assessed. In this study, we used internet search queries to evaluate the public awareness of the Healthy Cities approach applied in Shenzhen, China. The overall situation at the city level and the intercity variations were both analyzed. Additionally, we explored the factors that might affect the internet search queries of the Healthy Cities approach. Our results showed that the public awareness of the approach in

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Moon, Khatiya C., Anna R. Van Meter, Michael A. Kirschenbaum, Asra Ali, John M. Kane, and Michael L. Birnbaum. "Internet Search Activity of Young People With Mood Disorders Who Are Hospitalized for Suicidal Thoughts and Behaviors: Qualitative Study of Google Search Activity." JMIR Mental Health 8, no. 10 (2021): e28262. http://dx.doi.org/10.2196/28262.

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Background Little is known about the internet search activity of people with suicidal thoughts and behaviors (STBs). This data source has the potential to inform both clinical and public health efforts, such as suicide risk assessment and prevention. Objective We aimed to evaluate the internet search activity of suicidal young people to find evidence of suicidal ideation and behavioral health–related content. Methods Individuals aged between 15 and 30 years (N=43) with mood disorders who were hospitalized for STBs provided access to their internet search history. Searches that were conducted i

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Petit, Albin, Thomas Cerqueus, Antoine Boutet, et al. "SimAttack: private web search under fire." Journal of Internet Services and Applications 7, no. 1 (2016): 2. https://doi.org/10.1186/s13174-016-0044-x.

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Web Search engines have become an indispensable online service to retrieve content on the Internet. However, using search engines raises serious privacy issues as the latter gather large amounts of data about individuals through their search queries. Two main techniques have been proposed to privately query search engines. A first category of approaches, called <i>unlinkability</i>, aims at disassociating the query and the identity of its requester. A second category of approaches, called <i>indistinguishability</i>, aims at hiding user’s queries or user’s interests by either obfuscating user’

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Taira, Kazuya, Takahiro Itaya, and Sumio Fujita. "Predicting Smoking Prevalence in Japan Using Search Volumes in an Internet Search Engine: Infodemiology Study." Journal of Medical Internet Research 24, no. 12 (2022): e42619. http://dx.doi.org/10.2196/42619.

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Background Tobacco smoking is an important public health issue and a core indicator of public health policy worldwide. However, global pandemics and natural disasters have prevented surveys from being conducted. Objective The purpose of this study was to predict smoking prevalence by prefecture and sex in Japan using Internet search trends. Methods This study used the infodemiology approach. The outcome variable was smoking prevalence by prefecture, obtained from national surveys. The predictor variables were the search volumes on Yahoo! Japan Search. We collected the search volumes for querie

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Baştan, Muhammet, and Özgür Yılmaz. "Multi-View Product Image Search with Deep ConvNets Representations." International Journal on Artificial Intelligence Tools 27, no. 08 (2018): 1850032. http://dx.doi.org/10.1142/s021821301850032x.

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Multi-view product image queries can improve retrieval performance over single view queries significantly. In this paper, we investigated the performance of deep convolutional neural networks (ConvNets) on multi-view product image search. First, we trained a VGG-like network to learn deep ConvNets representations of product images. Then, we computed the deep ConvNets representations of database and query images and performed single view queries, and multi-view queries using several early and late fusion approaches. We performed extensive experiments on the publicly available Multi-View Object

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Voronov, M. V., and A. G. Davydovsky. "Bioinspired Scenario Analysis of the Connection between the COVID-19 Epidemic and Distance Learning Technologies." Моделирование и анализ данных 12, no. 4 (2022): 25–35. http://dx.doi.org/10.17759/mda.2022120402.

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<p>The structural scheme is developed and the description of the bioengineered quasimolecular algorithm of scenario analysis of dynamics of variation series is presented. On the basis of this algorithm a complex of pessimistic, inertial and optimistic scenarios of connection of search activity of Internet users and general morbidity coronavirus infection were developed and verified. Correlation relations between the intensity of search queries on the topic &laquo;distance learning&raquo; of relative frequencies of search queries on various communicative information technology pla

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Movchan, K. О., and L. M. Oleshchenko. "CLUSTERING OF INTERNET USERS SEARCH QUERIES USING GRAPH THEORY." Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences 1, no. 1 (2021): 128–33. http://dx.doi.org/10.32838/2663-5941/2021.1-1/21.

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Omarov, Murad. "Internet marketing metrics visualization methodology for related search queries." International Journal of Advanced Trends in Computer Science and Engineering 8, no. 5 (2019): 2277–81. http://dx.doi.org/10.30534/ijatcse/2019/65852019.

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KAZAKOVA, A. Yu. "Conceptualization of «social death» through Internet users’ search queries." SOCIAL SCIENCES AND HUMANITIES. DOMESTIC AND FOREIGN LITERATURE. SERIES 11: SOCIOLOGY, no. 3 (2021): 68–89. http://dx.doi.org/10.31249/rsoc/2021.03.06.

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Nemtsov, A. V., R. B. Gridin, and E. G. Cho. "ASSESSING ILLEGAL ALCOHOL CONSUMPTION BASED ON INTERNET SEARCH QUERIES." Journal of Addiction Problems, no. 3 (2020): 67–77. http://dx.doi.org/10.47877/0234-0623_2020_3_67.

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Markou, Ioulia, Kevin Kaiser, and Francisco C. Pereira. "Predicting taxi demand hotspots using automated Internet Search Queries." Transportation Research Part C: Emerging Technologies 102 (May 2019): 73–86. http://dx.doi.org/10.1016/j.trc.2019.03.001.

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Chauvet, Marcelle, Stuart Gabriel, and Chandler Lutz. "Mortgage default risk: New evidence from internet search queries." Journal of Urban Economics 96 (November 2016): 91–111. http://dx.doi.org/10.1016/j.jue.2016.08.004.

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Zaldarriaga, Jose Ma H., Aldric Mikhail N. Aw, Valerie Anne Cuyegkeng-Go, et al. ""Cancer-Related Search Queries in the Philippines: A Trend Analysis Across a Fifteen-Year Period "." Journal of Medical and Radiation Oncology 3, no. 1 (2023): 25–30. http://dx.doi.org/10.53011/jmro.2023.01.05.

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Analyzing the trends of internet search queries can provide rapid, unrestricted, and valuable insight on health-seeking behaviors of entire populations. More than half of the Philippine population use the internet; however, trends of search queries have rarely been analyzed. This study analyzed the trends of cancer-related search queries in the Philippines over a fifteen-year period. For the period spanning December 31, 2007 to December 31, 2022 in the Philippines, Google TrendsTM was used to compute the search volume index (SVI) for pre-selected cancer-related search terms. Two-way repeated m

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Yechiam, Eldad, and Elad Yom-Tov. "Unique Internet Search Strategies of Individuals With Self-Stated Autism: Quantitative Analysis of Search Engine Users’ Investigative Behaviors." Journal of Medical Internet Research 23, no. 7 (2021): e23829. http://dx.doi.org/10.2196/23829.

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Background Although autism is often characterized in literature by the presence of repetitive behavior, in structured decision tasks, individuals with autism spectrum disorder (ASD) have been found to examine more options in a given time period than controls. Objective We aimed to examine whether this investigative tendency emerges in information searches conducted via the internet. Methods In total, 1746 search engine users stated that they had ASD in 2019. This group’s naturally occurring responses following 1491 unique general queries and 78 image queries were compared to those of all other

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Mammadov, Eshgin. "MATHEMATİCAL FOUNDATİONS OF SEMANTİC SEARCH İN INTERNET ENGİNES." Deutsche internationale Zeitschrift für zeitgenössische Wissenschaft 77 (April 4, 2024): 47–54. https://doi.org/10.5281/zenodo.10929008.

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The advancement of semantic search algorithms relies heavily on the integration of sophisticated mathematical frameworks to decipher and interpret the semantics of user queries and web documents. This article provides an in-depth exploration of three key mathematical models utilized in semantic search: Vector Space Models (VSM), Latent Semantic Analysis (LSA), and Word Embeddings. Each model is meticulously examined, elucidating their mathematical foundations, operational principles, and integration into semantic search algorit hms. From the mathematical representation of documents and qu

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Qin, Jie, and Tai-Quan Peng. "Googling environmental issues." Internet Research 26, no. 1 (2016): 57–73. http://dx.doi.org/10.1108/intr-04-2014-0104.

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Purpose – Queries as a pioneering measure of public attention on various social issues have elicited considerable scholarly attention. The purpose of this paper is to address two fundamental questions, as follows: first, how do we identify niche queries that internet users search for on specific social issues?; and second, what are the measurement properties of queries data in gauging public attention on social issues? Design/methodology/approach – The present study uses public attention on environmental issues in the USA as the empirical setting of research. An iterative framework is develope

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Shaklai, Sigal, Ran Gilad-Bachrach, Elad Yom-Tov, and Naftali Stern. "Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival Data." Journal of Medical Internet Research 23, no. 5 (2021): e27084. http://dx.doi.org/10.2196/27084.

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Background Cerebrovascular disease is a leading cause of mortality and disability. Common risk assessment tools for stroke are based on the Framingham equation, which relies on traditional cardiovascular risk factors to predict an acute event in the near decade. However, no tools are currently available to predict a near/impending stroke, which might alert patients at risk to seek immediate preventive action (eg, anticoagulants for atrial fibrillation, control of hypertension). Objective Here, we propose that an algorithm based on internet search queries can identify people at increased risk f

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Bandos, Jennifer A., and Marc L. Resnick. "Understanding Query Formation in the Use of Internet Search Engines." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 14 (2002): 1291–95. http://dx.doi.org/10.1177/154193120204601411.

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Internet search engine use is notoriously challenging and frustrating to typical users. Most users are inefficient at finding what they are looking for and often give up before achieving their goals. Most commercial search engines have advanced search interfaces that are designed to facilitate increased precision and recall, but users generally avoid these due to poor usability and high perceived difficulty of use. This paper outlines three studies that investigated the strategies and effectiveness of user-generated search queries. Scenarios were formulated to encourage users to construct the

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Dimpfl, Thomas, and Stephan Jank. "Can Internet Search Queries Help to Predict Stock Market Volatility?" European Financial Management 22, no. 2 (2015): 171–92. http://dx.doi.org/10.1111/eufm.12058.

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Soreni, Noam, Duncan H. Cameron, David L. Streiner, Karen Rowa, and Randi E. McCabe. "Seasonality Patterns of Internet Searches on Mental Health: Exploratory Infodemiology Study." JMIR Mental Health 6, no. 4 (2019): e12974. http://dx.doi.org/10.2196/12974.

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Background The study of seasonal patterns of public interest in psychiatric disorders has important theoretical and practical implications for service planning and delivery. The recent explosion of internet searches suggests that mining search databases yields unique information on public interest in mental health disorders, which is a significantly more affordable approach than population health studies. Objective This study aimed to investigate seasonal patterns of internet mental health queries in Ontario, Canada. Methods Weekly data on health queries in Ontario from Google Trends were down

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Petrova, Diana. "Assessment of inflation expectations based on internet data." Applied Econometrics 66, no. 2 (2022): 25–38. http://dx.doi.org/10.22394/1993-7601-2022-66-25-38.

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This article provides assessments of inflation expectations of Russian internet users based on the posts of the social media Vkontakte and Google Trends search queries during 2014–2021. We collect posts from news communities and search queries to measure inflation expectations using inflation‐related regular expressions. Inflation expectations based on internet data are highly correlated with actual inflation and reflect household concerns about price increases during 2014–2021. Granger causality tests have shown both measures of internet user inflation expectations can be potential predictors

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Oh, Se Eun, Shuai Li, and Nicholas Hopper. "Fingerprinting Keywords in Search Queries over Tor." Proceedings on Privacy Enhancing Technologies 2017, no. 4 (2017): 251–70. http://dx.doi.org/10.1515/popets-2017-0048.

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AbstractSearch engine queries contain a great deal of private and potentially compromising information about users. One technique to prevent search engines from identifying the source of a query, and Internet service providers (ISPs) from identifying the contents of queries is to query the search engine over an anonymous network such as Tor.In this paper, we study the extent to which Website Fingerprinting can be extended to fingerprint individual queries or keywords to web applications, a task we call Keyword Fingerprinting (KF). We show that by augmenting traffic analysis using a two-stage a

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Liang, Feng, Peng Guan, Wei Wu, and Desheng Huang. "Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015." PeerJ 6 (June 25, 2018): e5134. http://dx.doi.org/10.7717/peerj.5134.

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Background Influenza epidemics pose significant social and economic challenges in China. Internet search query data have been identified as a valuable source for the detection of emerging influenza epidemics. However, the selection of the search queries and the adoption of prediction methods are crucial challenges when it comes to improving predictions. The purpose of this study was to explore the application of the Support Vector Machine (SVM) regression model in merging search engine query data and traditional influenza data. Methods The official monthly reported number of influenza cases in

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Bahk, Gyung Jin, Yong Soo Kim, and Myoung Su Park. "Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness." Emerging Infectious Diseases 21, no. 11 (2015): 1906–12. http://dx.doi.org/10.3201/eid2111.141834.

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Salloum, Ramzi G., Amira Osman, Wasim Maziak, and James F. Thrasher. "How popular is waterpipe tobacco smoking? Findings from internet search queries." Tobacco Control 24, no. 5 (2014): 509–13. http://dx.doi.org/10.1136/tobaccocontrol-2014-051675.

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Jhaver, Shagun, Justin Cranshaw, and Scott Counts. "Measuring Professional Skill Development in U.S. Cities Using Internet Search Queries." Proceedings of the International AAAI Conference on Web and Social Media 13 (July 6, 2019): 267–77. http://dx.doi.org/10.1609/icwsm.v13i01.3228.

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Using a sample of 10 million skill development-related queries from a popular internet search engine, drawn from almost 400 U.S. cities and over a 5 year period (2012 - 2016), we characterize the skills people search for across these cities, and relate them to measures of economic output, including GDP and unemployment. Findings show that differences in the amount, type, and specialization of skill development searches distinguish economically thriving cities from those that are struggling, including explaining variance in future GDP growth after accounting for socioeconomic demographics such

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Bazzanella, Barbara, Heiko Stoermer, and Paolo Bouquet. "Entity Type Disambiguation in User Queries." Journal of Information & Knowledge Management 10, no. 03 (2011): 209–24. http://dx.doi.org/10.1142/s0219649211002948.

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Searching for information about individual entities such as persons, locations, events, is an important activity in Internet search today, and is in its core a very semantic-oriented task. Several ways for accessing such information exist, but for locating entity-specific information, search engines are the most commonly used approach. In this context, keyword queries are the primary means of retrieving information about a specific entity. We believe that an important first step of performing such a task is to understand what type of entity the user is looking for. We call this process Entity

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Chiu, Yu Bin, Huei Huang Chen, Chu Yen Liu, Shih Chih Chen, and Chung Wen Hung. "Efficient Storage and Retrieval of XML Documents Using XQuery." Advanced Materials Research 779-780 (September 2013): 1685–88. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.1685.

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XML has already been the standard of data interchange on the Internet. Nowadays, a large amount of data is represented in XML format. However, most of the critical data in businesses are still stored in relational database management systems. It is difficult to query XML databases because of its textual format. This research intends to tackle this problem, and we proposed a system to manage XML documents that could be queried by the query language XQuery. XML documents are stored in relational format and the XQuery expressions are translated into appropriate SQL queries. The results of the SQL

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Riem, Madelon M. E., Pietro De Carli, Jing Guo, Marian J. Bakermans-Kranenburg, Marinus H. van IJzendoorn, and Paul Lodder. "Internet Searches for Terms Related to Child Maltreatment During COVID-19: Infodemiology Approach." JMIR Pediatrics and Parenting 4, no. 3 (2021): e27974. http://dx.doi.org/10.2196/27974.

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We examined internet searches indicative of abusive parental behaviors before and after the World Health Organization’s declaration of COVID-19 as a pandemic (March 11, 2020) and subsequent lockdown measures in many countries worldwide. Using Google Trends, we inferred search trends between December 28, 2018, and December 27, 2020, for queries consisting of “mother,” “father,” or “parents” combined with each of the 11 maltreatment-related verbs used in the Conflict Tactics Scales, Parent-Child version. Raw search counts from the Google Trends data were estimated using Comscore. Of all 33 searc

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Hiraoka, Leslie S. "The Search Engine as an Internet Service Channel." International Journal of Information Systems and Social Change 1, no. 3 (2010): 13–27. http://dx.doi.org/10.4018/jissc.2010070102.

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Development of the search engine as a major information and marketing channel resulted from innovative technologies that made it capable of presenting rapid, relevant responses to queries. To do this, the search engine compiles an index of web pages of information stored on the World Wide Web, ranks each page according to its incoming links, matches keywords in the query to those in its index, and returns what it determines are the most relevant pages to the searcher. Innovative and cost-effective ad placement algorithms have attracted advertisers to search engine websites and intensified the

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Mider, Daniel. "Sztuka wyszukiwania w Internecie – autorski przegląd wybranych technik i narzędzi." Studia Politologiczne 2019, no. 54 (2019): 191–229. http://dx.doi.org/10.33896/spolit.2019.54.8.

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The text consists of two parts. The first analyzed the internet search techniques – in a general heuristic sense and detailed i.e. specific techniques belonging to the family of query languages – so called operators (logical operators, localization operators, operators for communication channels in social media, chronometric operators, search operators in the content of the www and search operators for specific types of content). Their main function is to clarify search queries. The second part of the text contains a review and analysis of selected internet exploration tools – search engines (

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Taira, Kazuya, Rikuya Hosokawa, Tomoya Itatani, and Sumio Fujita. "Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model." JMIR Public Health and Surveillance 7, no. 12 (2021): e34016. http://dx.doi.org/10.2196/34016.

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Background The number of suicides in Japan increased during the COVID-19 pandemic. Predicting the number of suicides is important to take timely preventive measures. Objective This study aims to clarify whether the number of suicides can be predicted by suicide-related search queries used before searching for the keyword “suicide.” Methods This study uses the infoveillance approach for suicide in Japan by search trends in search engines. The monthly number of suicides by gender, collected and published by the National Police Agency, was used as an outcome variable. The number of searches by ge

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Hochberg, Irit, Deeb Daoud, Naim Shehadeh, and Elad Yom-Tov. "Can internet search engine queries be used to diagnose diabetes? Analysis of archival search data." Acta Diabetologica 56, no. 10 (2019): 1149–54. http://dx.doi.org/10.1007/s00592-019-01350-5.

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Belinskaya, E., O. Tihomandritskaya, E. Stolbova, and E. Tsikina. "The Dynamics of Information Search Queries about COVID-19 at the Self-Isolation Stage." European Psychiatry 65, S1 (2022): S537—S538. http://dx.doi.org/10.1192/j.eurpsy.2022.1374.

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Introduction The dynamics of search queries in large random samples may reflect both the reaction of the population to the statements of power subjects, and the presence of certain mechanisms of emotional self-regulation. Objectives Studying the dynamics of information search queries in the situation of experiencing an objective global threat-the spread of COVID-19. Methods Quantitative methods of the Data Mining class were used for data collection. Qualitative methods of the Data Mining class and contextual analysis were used for data analysis. Search queries related to COVID-19 and the intro

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Riekert, Wolf-Fritz. "Automated Retrieval of Information in the Internet by Using Thesauri and Gazetteers as Knowledge Sources." JUCS - Journal of Universal Computer Science 8, no. (6) (2002): 581–90. https://doi.org/10.3217/jucs-008-06-0581.

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There is an immense number of information resources on the Internet that can be utilized free of charge. So many knowledge workers try to make use of this information in their daily tasks. Nevertheless, it is very hard to find the relevant information in the Internet by using the full-text retrieval techniques which are offered by most existing search engines. This paper demonstrates that Thesauri, which have been used in established online retrieval systems for a long time, also open up new methods for the automated search for information in the Internet. In addition, thesaurus-like structure

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Król, Karol, and Dariusz Zdonek. "Cultural Heritage Topics in Online Queries: A Comparison between English- and Polish-Speaking Internet Users." Sustainability 15, no. 6 (2023): 5119. http://dx.doi.org/10.3390/su15065119.

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New communication channels and methods for retrieving information can provide increasingly precise data describing how cultural heritage is perceived, protected, promoted, and shared. Many internet users search for cultural-heritage-related topics using online search engines and databases. The purpose of this study was to identify the context and frequency of cultural heritage topics in Google search engine queries. The primary hypothesis was that keywords used in Google searches related to cultural heritage would be much more diversified in English than in Polish, perhaps because Polish has m

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Ku, J., NM Alotaibi, J. Wang, and GM Ibrahim. "P.049 Seasonal variations in aneurysmal subarachnoid hemorrhage: revisiting the myth using google trends." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 44, S2 (2017): S25—S26. http://dx.doi.org/10.1017/cjn.2017.134.

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Background: Results of previous studies examining seasonal variation in the incidence of aneurysmal subarachnoid hemorrhage (SAH) are conflicting. The aim of this study is to investigate whether there is a seasonal effect in online search queries for SAH that may reflect an association between meteorological factors and aneurysm rupture. Methods: We utilized the Google Trends data service to analyze the volume of internet queries for SAH on Google’s search engine from January 1, 2004 to November 2016. We used comprehensive search terms and collected data from: USA, Canada, Finland, and Japan,

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Arvaree, Ms Thamilvaani, and Dr Rodziah Atan. "Cascading Guided Search Cloud Service Search Engine." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 9 (2013): 1977–82. http://dx.doi.org/10.24297/ijct.v10i9.1376.

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Cloud computing is one contemporary technology in which the research community has recently embarked. This paradigm shifts the location of the infrastructure to the network to reduce the costs associated with the management of hardware and software resources. Developers with innovative ideas for new Internet services no longer require the large capital outlays in hardware to deploy their service or the human expense to operate it. Organization adopts cloud computing services through service provider via Internet. In recent years, numbers of cloud service providers are increase.Â However, there

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Ukey, Nimish, Zhengyi Yang, Binghao Li, Guangjian Zhang, Yiheng Hu, and Wenjie Zhang. "Survey on Exact kNN Queries over High-Dimensional Data Space." Sensors 23, no. 2 (2023): 629. http://dx.doi.org/10.3390/s23020629.

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k nearest neighbours (kNN) queries are fundamental in many applications, ranging from data mining, recommendation system and Internet of Things, to Industry 4.0 framework applications. In mining, specifically, it can be used for the classification of human activities, iterative closest point registration and pattern recognition and has also been helpful for intrusion detection systems and fault detection. Due to the importance of kNN queries, many algorithms have been proposed in the literature, for both static and dynamic data. In this paper, we focus on exact kNN queries and present a compre

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Bader, Judith L., and Mary Frances Theofanos. "Searching for Cancer Information on the Internet: Analyzing Natural Language Search Queries." Journal of Medical Internet Research 5, no. 4 (2003): e31. http://dx.doi.org/10.2196/jmir.5.4.e31.

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Guo, Pi, Li Wang, Yanhong Zhang, et al. "Can internet search queries be used for dengue fever surveillance in China?" International Journal of Infectious Diseases 63 (October 2017): 74–76. http://dx.doi.org/10.1016/j.ijid.2017.08.001.

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Zhang, Qingpeng, Yi Chai, Xiaoming Li, Sean D. Young, and Jiaqi Zhou. "Using internet search data to predict new HIV diagnoses in China: a modelling study." BMJ Open 8, no. 10 (2018): e018335. http://dx.doi.org/10.1136/bmjopen-2017-018335.

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ObjectivesInternet data are important sources of abundant information regarding HIV epidemics and risk factors. A number of case studies found an association between internet searches and outbreaks of infectious diseases, including HIV. In this research, we examined the feasibility of using search query data to predict the number of new HIV diagnoses in China.DesignWe identified a set of search queries that are associated with new HIV diagnoses in China. We developed statistical models (negative binomial generalised linear model and its Bayesian variants) to estimate the number of new HIV diag

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Adeeb, Mohammed, Ahmed Sleman, Sumaya Abdullah, and Belal Al-Khateeb. "Enhanced Google-Based Semantic Category Search." Journal of University of Human Development 1, no. 4 (2015): 398. http://dx.doi.org/10.21928/juhd.v1n4y2015.pp398-403.

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Recently search services have been developed rapidly especially when the social internet appeared. It can help web users easily find their documents. So that it is very difficult to find a best search method. This paper aims to enhance the quality of the search engines results and this can be done by adding a second level category search that is able to search for the keyword and its synonyms, which enables the search engines to get more users queries related results. The proposed method showed promising results that will open further research directions

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