Relevant bibliographies by topics / Meta-search engine

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Meta-search engine'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Meta-search engine"

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D.Minnie and S.Srinivasan. "META SEARCH ENGINE WITH AN INTELLIGENT INTERFACE FOR INFORMATION RETRIEVAL ON MULTIPLE DOMAINS." International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) 1, no. 4 (2011): 37–45. https://doi.org/10.5281/zenodo.3542608.

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This paper analyses the features of Web Search Engines, Vertical Search Engines, Meta Search Engines, and proposes a Meta Search Engine for searching and retrieving documents on Multiple Domains in the World Wide Web (WWW). A web search engine searches for information in WWW. A Vertical Search provides the user with results for queries on that domain. Meta Search Engines send the user’s search queries to various search engines and combine the search results. This paper introduces intelligent user interfaces for selecting domain, category and search engines for the proposed Multi-Domain M
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Gyasoddin, Imran Ahemad, and Prof. D. G. Ingale. "META SEARCH ENGINE." International Journal of Ingenious Research, Invention and Development (IJIRID) 3, no. 5 (2024): 311–14. https://doi.org/10.5281/zenodo.13991669.

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Meta search engines are designed to improve the efficiency and breadth of online searches by aggregating results from multiple search engines. Unlike traditional search engines, which rely on their own indexed databases and algorithms, meta search engines query several search engines simultaneously and present a unified set of results. This approach addresses limitations in single search engines, such as limited coverage, ranking biases, and incomplete results (Zhang & Wu, 2005; Jansen & Pooch, 2001). Meta search engines work by distributing user queries to various search engines, coll
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Maree, Mohammed, Saadat M. Alhashmi, and Mohammed Belkhatir. "Towards Improving Meta-Search through Exploiting an Integrated Search Model." Journal of Information & Knowledge Management 10, no. 04 (2011): 379–91. http://dx.doi.org/10.1142/s0219649211003073.

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Meta-search engines are created to reduce the burden on the user by dispatching queries to multiple search engines in parallel. Decisions on how to rank the returned results are made based on the query's keywords. Although keyword-based search model produces good results, better results can be obtained by integrating semantic and statistical based relatedness measures into this model. Such integration allows the meta-search engine to search by meanings rather than only by literal strings. In this article, we present Multi-Search+, the next generation of Multi-Search general-purpose meta-search
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R. Sathiya, R., A. G. Jayasree, Raghuvamsi Tangirala, and Damerla Prasanna. "A Study of Various Result Merging Strategies for a Meta Search Engine." International Journal of Engineering & Technology 7, no. 3.6 (2018): 255. http://dx.doi.org/10.14419/ijet.v7i3.6.14983.

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As the amount of data is growing day by day, the sources for these data are also growing simultaneously and to search through this very data, we need the use of search engines. Since each search engine is limited to its confined set of data, it would be even better to make use of a Meta search engine which will give us more relevant results than the ones obtained from any single search engine. It acts as an interface that provides the user with a single view from the various underlying search engines. The data is collected from these underlying search engines after they are accessed with the p
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Zhang, Jin, and Chi Cheung. "Meta‐search‐engine feature analysis." Online Information Review 27, no. 6 (2003): 433–41. http://dx.doi.org/10.1108/14684520310510073.

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Puspitaningrum, Diyah. "TEKNIK PERANGKINGAN META-SEARCH ENGINE." Pseudocode 1, no. 1 (2014): 15–23. http://dx.doi.org/10.33369/pseudocode.1.1.15-23.

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Kejriwal, Mayank. "A meta-engine for building domain-specific search engines." Software Impacts 7 (February 2021): 100052. http://dx.doi.org/10.1016/j.simpa.2020.100052.

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Zhang, Yong Hua, and Chao Wang. "Design and Implementation of News Summary Based on Meta Search Engine." Advanced Materials Research 798-799 (September 2013): 803–7. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.803.

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The relationship between the meta search engine and independent search engine is presented. The news information searched by the independent search engine is not accurate and complete. After researching the technology of summary generation and meta search engine, summary generation algorithm is improved, the news summary based meta search engine system is put forward and the realization of it is expounded. Experiment showed the summary created did well in readability and coverage, and enhanced the precision.
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Borkar, N. A., and S. V. Kulkarni. "Architecture for Personalized Meta Search Engine." International Journal of Computer Sciences and Engineering 06, no. 01 (2018): 55–59. http://dx.doi.org/10.26438/ijcse/v6si1.5559.

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El-Sayed, Maged. "SEARCHSENSE: A SEMANTIC META SEARCH ENGINE." International Journal of Intelligent Computing and Information Sciences 18, no. 1 (2018): 15–25. http://dx.doi.org/10.21608/ijicis.2018.15907.

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Dissertations / Theses on the topic "Meta-search engine"

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Na, Jin-Cheon, Christopher S. G. Khoo, and Syin Chan. "A sentiment-based meta search engine." School of Communication & Information, Nanyang Technological University, 2006. http://hdl.handle.net/10150/106241.

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This study is in the area of sentiment classification: classifying online review documents according to the overall sentiment expressed in them. This paper presents a prototype sentiment-based meta search engine that has been developed to perform sentiment categorization of Web search results. It assists users to quickly focus on recommended or non-recommended information by classifying Web search results into four categories: positive, negative, neutral, and non-review documents. It does this by using an automatic classifier based on a supervised machine learning algorithm, Support Vector Mac
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Presgrave, Trevor A. "Collaborative Search Engines: Toward a Meta-Design for Improving the User Experience." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427799661.

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Shen, Yipeng. "Meta-search and distributed search systems /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?COMP%202002%20SHEN.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 138-144). Also available in electronic version. Access restricted to campus users.
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Hansén, Jacob, and Axel Gustafsson. "A Study on Comparison Websites in the Airline Industry and Using CART Methods to Determine Key Parameters in Flight Search Conversion." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254309.

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This bachelor thesis in applied mathematics and industrial engineering and management aimed to identify relationships between search parameters in flight comparison search engines and the exit conversion rate, while also investigating how the emergence of such comparison search engines has impacted the airline industry. To identify such relationships, several classification models were employed in conjunction with several sampling methods to produce a predictive model using the program R. To investigate the impact of the emergence of comparison websites, Porter's 5 forces and a SWOT - analysis
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"Cross-media meta-search engine." 2005. http://library.cuhk.edu.hk/record=b5892707.

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Cheng Tung Yin.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.<br>Includes bibliographical references (leaves 136-141).<br>Abstracts in English and Chinese.<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Overview --- p.1<br>Chapter 1.1.1 --- Information Retrieval --- p.1<br>Chapter 1.1.2 --- Search Engines --- p.2<br>Chapter 1.1.3 --- Data Merging --- p.3<br>Chapter 1.2 --- Meta-search Engines --- p.3<br>Chapter 1.2.1 --- Framework and Techniques Employed --- p.3<br>Chapter 1.2.2 --- Advantages of meta-searching --- p.8<br>Chapter 1.3 --- Contribution of the Thes
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Hsu, Hsien-Ju, and 徐賢儒. "A Study of Meta-Search Engine." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/04537200484180922341.

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碩士<br>中華大學<br>資訊工程學系碩士班<br>87<br>The growth of the Internet is giving us access to unprecedented amounts of information. The search engines and catalogue systems can do an excellent job of finding relevant sites or pages. But many of these search engines still have some problems. Therefore, a new search technology, Meta-Search Engine, provide users a completely information and more efficiency search environment. Meta-Search Engines can send query string to the all of the search engines on the Internet. It integrated and filtered the redundant or duplicate information in all the sear
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Lee, Yen-Chun, and 李彥醇. "The Design of Intelligent Meta Search Engine." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/70767409421123873655.

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碩士<br>大同大學<br>資訊工程研究所<br>90<br>In the thesis, we propose an intelligent meta-search engine that bases on user’s query keyword(s) to find the extended keywords and more related websites. Instead of listing a lot of candidate websites waiting for users to search, our approach automatically pops up only the more related documents for the users to read. The extended related keywords and more related documents appeared in the explorer window are derived from the proposed method. In case a user is not satisfied with the search results, he/she has the options of picking the advised related keywords g
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Lee, Chia-Hui, and 李嘉惠. "A Preliminary Study of the Meta Search Engine." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/62077336264653713772.

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碩士<br>立德大學<br>資訊傳播研究所<br>97<br>As a result of fast internet technology development nowadays, people rely on internet to get the information more and more. However it is not easy to get correct information directly in the boundless internet for generally user. They will get lose and will not know what to do, but Meta Search Engine is clearing this lose issue up . Single search engine is limited information cover rate, so it is no guarantee for whole area. Any search engine is designed for specific search database, unique function and method, and predicted user-oriented. That bring about same se
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Chin, Kuan-Chen, and 金冠辰. "Personalized Ranking for Meta-Search Engine by Using SSVM." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/34281812007439380838.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>93<br>With the fast growth of the World Wide Web, the amount of information on the Web has become overwhelming. Since current search engines are built to serve all users, the search results are usually ranked based on the public interests of the users. Furthermore, current search engines always provide the same results for all users no matter which field the user belongs to. Hence, some users have to browse the search results laboriously to find out the desired web pages. In this thesis, we build up a personalized meta-search engine (PMSE) which allows users to rank
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Huang, Chang-shao, and 黃昶韶. "A Research of Apply XML/XSL to Meta-Search Engine." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/27576199803338556403.

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碩士<br>南華大學<br>資訊管理學研究所<br>93<br>Because of the growing up of the internet, the WWW become one of the sources that most people obtain information. By the help of the search engine, user can find out the information quickly. The former research shows that none of a search engines can search 16% of the whole web pages of internet, so that’s the reason why scholar proposed Meta-Search engine. It uses the single query interface to send user’s query to several search engines, then it presents the overall retrieval results to the user, but it has the problem with extension. This is due to the restric
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Books on the topic "Meta-search engine"

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Temlett, Paul John. Meta-search engine for the web. Oxford Brookes University, 2000.

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Adam, Stephen. Neurosearch: A meta internet search engine utilising neural networks to categorise results. Oxford Brookes University, 2004.

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Meta tags: Optimising your website for Internet search engines. Lulu Inc., 2007.

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Book chapters on the topic "Meta-search engine"

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Li, Qingshan, and Yingcheng Sun. "An Agent Based Intelligent Meta Search Engine." In Web Information Systems and Mining. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33469-6_71.

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Jackson, Wallace. "HTML5 Search Engine Optimization: Title and Meta." In HTML5 Quick Markup Reference. Apress, 2016. http://dx.doi.org/10.1007/978-1-4302-6536-8_3.

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Maree, Mohammed, Saadat M. Alhashmi, Mohammed Belkhatir, Hidayat Hidayat, and Bashar Tahayna. "Multi-Search: A Meta-search Engine Based on Multiple Ontologies." In Information Retrieval Technology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17187-1_10.

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Siji Rani, S., and S. Goutham. "A Novel Approach for Meta-Search Engine Optimization." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5934-7_34.

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Xie, Nengfu, and Wensheng Wang. "RESEARCH ON AGRICULTURE DOMAIN META-SEARCH ENGINE SYSTEM." In IFIP Advances in Information and Communication Technology. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0211-5_68.

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Oliveira, Claudia, Luis Gustavo, Varges Resende, and Roberto Lehmann. "Interactive Query Expansion in a Meta-search Engine." In Next Generation Information Technologies and Systems. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48521-x_5.

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Yong, Suet Peng, and Wan Nordiana Wan Abd Kadir. "A Meta-search Engine with Hits Redundancies Filtering." In Lecture Notes in Electrical Engineering. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-74938-9_40.

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Chen, Kang, Weimin Zheng, Xiatie Deng, Haodi Feng, and Shanfeng Zhu. "Text Distinguishers Used in an Interactive Meta Search Engine." In Advances in Web-Age Information Management. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45703-8_17.

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Feng, Junliang, Junzhong Gu, and Zili Zhou. "An Improved Ranking Aggregation Method for Meta-Search Engine." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6738-6_25.

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Fang, Qizhi, Han Xiao, and Shanfeng Zhu. "Top-d Rank Aggregation in Web Meta-search Engine." In Frontiers in Algorithmics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14553-7_6.

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Conference papers on the topic "Meta-search engine"

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Kumar, Rajesh, Sunil Kumar Singh, and Virendra Kumar. "A heuristic approach for search engine selection in meta-search engine." In 2015 International Conference on Computing, Communication & Automation (ICCCA). IEEE, 2015. http://dx.doi.org/10.1109/ccaa.2015.7148496.

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Keong, Boo Vooi, and Patricia Anthony. "Meta search engine powered by DBpedia." In 2011 International Conference on Semantic Technology and Information Retrieval (STAIR). IEEE, 2011. http://dx.doi.org/10.1109/stair.2011.5995770.

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Abdelbaki, Issam, El habib Benlahmar, and Elhoussin Labriji. "Result merging for meta-search engine." In 2013 8th International Conference on Intelligent Systems: Theories and Applications (SITA). IEEE, 2013. http://dx.doi.org/10.1109/sita.2013.6560802.

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Chaurasia, Brijesh Kumar, Shashi Kant Gupta, and Rishi Soni. "Meta Search Engine Based on Prioritizor." In 2011 International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2011. http://dx.doi.org/10.1109/cicn.2011.109.

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Liu, Chunshuang, Zhiqiang Zhang, Xiaoqin Xie, and TingTing Liang. "Evaluation of Meta-Search Engine Merge Algorithms." In 2008 International Conference on Internet Computing in Science and Engineering (ICICSE). IEEE, 2008. http://dx.doi.org/10.1109/icicse.2008.38.

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Kruepl, Bernhard, Wolfgang Holzinger, Yansen Darmaputra, and Robert Baumgartner. "A flight meta-search engine with metamorph." In the 18th international conference. ACM Press, 2009. http://dx.doi.org/10.1145/1526709.1526860.

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Jiandong Cao, Yang Tang, and Binbin Lou. "Personalized meta-search engine design and implementation." In 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccsit.2010.5563670.

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Gulli, A., and A. Signorini. "Building an open source meta-search engine." In Special interest tracks and posters of the 14th international conference. ACM Press, 2005. http://dx.doi.org/10.1145/1062745.1062840.

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Ghaderi, Mohammad Ali, Nasser Yazdani, and Behzad Moshiri. "A social network-based meta search engine." In 2010 5th International Symposium on Telecommunications (IST). IEEE, 2010. http://dx.doi.org/10.1109/istel.2010.5734121.

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"A NOVEL METADATA BASED META-SEARCH ENGINE." In 3rd International Conference on Software and Data Technologies. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001896403120315.

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Reports on the topic "Meta-search engine"

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Hernández-López, Luis Pablo, Miriam Romero-López, and Guillermo García-Quirante. Humor and social competence in High School and University education: a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.11.0033.

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Review question / Objective: Research question: What type of relationship exists between the use of humor and social competence, or any of their respective components, in post-compulsory education students? The aim of this paper was to conduct a systematic theoretical review of the relationship between humor and social competence in post-compulsory education students. Information sources: Electronic bibliographic databases of Psychology, Biomedical and Multidisciplinary Sciences, as well as the ProQuest search platform and the SCOPUS and Web of Science meta-search engines. The electronic datab
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Molla-Esparza, Cristian, Natalia Gandía Carbonell, María Isabel Gómez Núñez, and Laura Badenes Ribera. Prevalence of sex under the influence of drugs among young adults: a systematic review and meta-analysis protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.10.0077.

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Review question / Objective: The objective of this systematic review and meta-analysis is to examine the prevalence of engaging in sex under the influence of drugs among young adults. Condition being studied: The prevalence of sex under the influence of drugs in young adults. Information sources: Published and unpublished literature will be systematically searched via three electronic databases: ISI Web of Science (WoS Core Collection); Scopus; and Psychological Information (PsycInfo). A grey literature search will also be performed via the Google and Google Scholar search engines, in order to
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Moosburner, Alina, Holger Cramer, Johanna Triana, and Dennis Anheyer. Yoga for depressive disorder– registry of a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0033.

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Review question / Objective: What is the effect of yoga interventions on depression severity and remission rate in patients with depressive disorders compared to passive and active controls? Condition being studied: The study will focus on clinically diagnosed depression (DSM-IV/-V or ICD-10/-11). Information sources: Following Databases will be searched with the described search term: Medline, Cochrane, Scopus, PsycInfo. As a source of grey literature, BASE (Bielefeld academic search engine) will be searched.
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