Relevant bibliographies by topics / Web search

Academic literature on the topic 'Web search'

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Published: 4 June 2021
Last updated: 23 February 2023

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Journal articles on the topic "Web search"

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Kuusisto, Finn. "Web search." XRDS: Crossroads, The ACM Magazine for Students 18, no. 4 (June 2012): 41. http://dx.doi.org/10.1145/2173637.2173654.

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Spink, Amanda, and Bernard J. Jansen. "Web search☆." Information Sciences 179, no. 12 (May 30, 2009): 1795. http://dx.doi.org/10.1016/j.ins.2009.01.012.

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Radadiya, Jitendrakumar P., Kalpesh Rasiklal Rakholiya, and Dr Dhaval R. Kathiriya. "Intelligent Sementic Web Search Engine." International Journal of Scientific Research 1, no. 7 (June 1, 2012): 34–35. http://dx.doi.org/10.15373/22778179/dec2012/13.

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Castillo, Carlos. "Adversarial Web Search." Foundations and Trends® in Information Retrieval 4, no. 5 (2010): 377–486. http://dx.doi.org/10.1561/1500000021.

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Schwartz, Candy. "Web search engines." Journal of the American Society for Information Science 49, no. 11 (1998): 973–82. http://dx.doi.org/10.1002/(sici)1097-4571(1998)49:11<973::aid-asi3>3.0.co;2-z.

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Rajashekar, T. B. "Web search engines." Resonance 3, no. 11 (November 1998): 40–53. http://dx.doi.org/10.1007/bf02838708.

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Ma, Lingfeng, and Gavriel Salvendy. "Graphical Web directory for Web search." Behaviour & Information Technology 22, no. 2 (January 2003): 71–77. http://dx.doi.org/10.1080/0144929031000092222.

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O'Brien, Keith. "Web site review: web search tips." Collegian 6, no. 1 (January 1999): 42. http://dx.doi.org/10.1016/s1322-7696(08)60316-9.

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Chawla, Suruchi. "Intelligent web search system for personalised web search based on recommendation of web page communities." International Journal of Intelligent Systems Design and Computing 3, no. 1 (2019): 12. http://dx.doi.org/10.1504/ijisdc.2019.10027394.

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Chawla, Suruchi. "Intelligent web search system for personalised web search based on recommendation of web page communities." International Journal of Intelligent Systems Design and Computing 3, no. 1 (2019): 12. http://dx.doi.org/10.1504/ijisdc.2019.105793.

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Dissertations / Theses on the topic "Web search"

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Bota, Horatiu S. "Composite web search." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/38925/.

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The figure above shows Google’s results page for the query “taylor swift”, captured in March 2016. Assembled around the long-established list of search results is content extracted from various source — news items and tweets merged within the results ranking, images, songs and social media profiles displayed to the right of the ranking, in an interface element that is known as an entity card. Indeed, the entire page seems more like an assembly of content extracted from various sources, rather than just a ranked list of blue links. Search engine result pages have become increasingly diverse over the past few years, with most commercial web search providers responding to user queries with different types of results, merged within a unified page. The primary reason for this diversity on the results page is that the web itself has become more diverse, given the ease with which creating and hosting different types of content on the web is possible today. This thesis investigates the aggregation of web search results retrieved from various document sources (e.g., images, tweets, Wiki pages) within information “objects” to be integrated in the results page assembled in response to user queries. We use the terms “composite objects” or “composite results” to refer to such objects, and throughout this thesis use the terminology of Composite Web Search (e.g., result composition) to distinguish our approach from other methods of aggregating diverse content within a unified results page (e.g., Aggregated Search). In our definition, the aspects that differentiate composite information objects from aggregated search blocks are that composite objects (i) contain results from multiple sources of information, (ii) are specific to a common topic or facet of a topic rather than a grouping of results of the same type, and (iii) are not a uniform ranking of results ordered only by their topical relevance to a query. The most widely used type of composite result in web search today is the entity card. Entity cards have become extremely popular over the past few years, with some informal studies suggesting that entity cards are now shown on the majority of result pages generated by Google. As composite results are used more and more by commercial search engines to address information needs directly on the results page, understanding the properties of such objects and their influence on searchers is an essential aspect of modern web search science. The work presented throughout this thesis attempts the task of studying composite objects by exploring users’ perspectives on accessing and aggregating diverse content manually, by analysing the effect composite objects have on search behaviour and perceived workload, and by investigating different approaches to constructing such objects from diverse results. Overall, our experimental findings suggest that items which play a central role within composite objects are decisive in determining their usefulness, and that the overall properties of composite objects (i.e., relevance, diversity and coherence) play a combined role in mediating object usefulness.
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Sawant, Anup Satish. "Semantic web search." Connect to this title online, 2009. http://etd.lib.clemson.edu/documents/1263410119/.

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Williamson, Victor Lamont. "Goal-oriented Web search." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61247.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 57-58).
We have designed and implemented a Goal-oriented Web application to search videos, images, and news by querying YouTube, Truveo, Google and Yahoo search services. The Planner module decomposes functionality in Goals and Techniques. Goals declare searches for specific types of content and Techniques query the various Web services. We choose which Web service has the best rating at runtime and return the winning results. Users weight their preferred Web services and declare a repository of their own Techniques to upload and execute.
by Victor Lamont Williamson.
M.Eng.
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Selberg, Erik Warren. "Towards comprehensive Web search /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6873.

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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.
Includes bibliographical references (leaves 138-144). Also available in electronic version. Access restricted to campus users.
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Tadros, Rimon. "Accelerating web search using GPUs." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54722.

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The amount of content on the Internet is growing rapidly as well as the number of the online Internet users. As a consequence, web search engines need to increase their computing capabilities and data continually while maintaining low search latency and without a significant rise in the cost per query. To serve this larger numbers of online users, web search engines utilize a large distributed system in the data centers. They partition their data across several hundred of thousands of independent commodity servers called Index Serving Nodes (ISNs). These ISNs work together to serve search queries as a single coherent system in a distributed manner. The choice of a high number of commodity servers vs. a smaller number of supercomputers is due to the need for scalability, high availability/reliability, performance, and cost efficiency. For the web search engines to serve a larger data, the web search engines can be scaled either vertically or horizontally~\cite{michael2007scale}. Vertical scaling enables ranking more documents per query within a single node by employing machines with higher single thread and throughput performance with bigger and faster memory. Horizontal scaling supports a larger index by adding more index serving nodes at the cost of increased synchronization, aggregation overhead, and power consumption. This thesis evaluates the potential for achieving better vertical scaling by using Graphics processing unit (GPUs) to reduce the documents ranking latency per query at a reasonable initial cost increase. It achieves this by exploiting the parallelism in ranking the numerous potential documents that match a query to offload to the GPU. We evaluate this approach using hundreds of rankers from a commercial web search engine on real production data. Our results show an 8.8x harmonic mean reduction in the latency and 2x power efficiency when ranking 10000 web documents per query for a variety of rankers using C++AMP and a commodity GPU.
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Santos, Rodrygo Luis Teodoro. "Explicit web search result diversification." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4106/.

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Queries submitted to a web search engine are typically short and often ambiguous. With the enormous size of the Web, a misunderstanding of the information need underlying an ambiguous query can misguide the search engine, ultimately leading the user to abandon the originally submitted query. In order to overcome this problem, a sensible approach is to diversify the documents retrieved for the user's query. As a result, the likelihood that at least one of these documents will satisfy the user's actual information need is increased. In this thesis, we argue that an ambiguous query should be seen as representing not one, but multiple information needs. Based upon this premise, we propose xQuAD---Explicit Query Aspect Diversification, a novel probabilistic framework for search result diversification. In particular, the xQuAD framework naturally models several dimensions of the search result diversification problem in a principled yet practical manner. To this end, the framework represents the possible information needs underlying a query as a set of keyword-based sub-queries. Moreover, xQuAD accounts for the overall coverage of each retrieved document with respect to the identified sub-queries, so as to rank highly diverse documents first. In addition, it accounts for how well each sub-query is covered by the other retrieved documents, so as to promote novelty---and hence penalise redundancy---in the ranking. The framework also models the importance of each of the identified sub-queries, so as to appropriately cater for the interests of the user population when diversifying the retrieved documents. Finally, since not all queries are equally ambiguous, the xQuAD framework caters for the ambiguity level of different queries, so as to appropriately trade-off relevance for diversity on a per-query basis. The xQuAD framework is general and can be used to instantiate several diversification models, including the most prominent models described in the literature. In particular, within xQuAD, each of the aforementioned dimensions of the search result diversification problem can be tackled in a variety of ways. In this thesis, as additional contributions besides the xQuAD framework, we introduce novel machine learning approaches for addressing each of these dimensions. These include a learning to rank approach for identifying effective sub-queries as query suggestions mined from a query log, an intent-aware approach for choosing the ranking models most likely to be effective for estimating the coverage and novelty of multiple documents with respect to a sub-query, and a selective approach for automatically predicting how much to diversify the documents retrieved for each individual query. In addition, we perform the first empirical analysis of the role of novelty as a diversification strategy for web search. As demonstrated throughout this thesis, the principles underlying the xQuAD framework are general, sound, and effective. In particular, to validate the contributions of this thesis, we thoroughly assess the effectiveness of xQuAD under the standard experimentation paradigm provided by the diversity task of the TREC 2009, 2010, and 2011 Web tracks. The results of this investigation demonstrate the effectiveness of our proposed framework. Indeed, xQuAD attains consistent and significant improvements in comparison to the most effective diversification approaches in the literature, and across a range of experimental conditions, comprising multiple input rankings, multiple sub-query generation and coverage estimation mechanisms, as well as queries with multiple levels of ambiguity. Altogether, these results corroborate the state-of-the-art diversification performance of xQuAD.
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Bian, Jiang. "Contextualized web search: query-dependent ranking and social media search." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37246.

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Due to the information explosion on the Internet, effective information search techniques are required to retrieve the desired information from the Web. Based on much analysis on users' search intention and the variant forms of Web content, we find that both the query and the indexed web content are often associated with various context information, which can provide much essential information to indicate the ranking relevance in Web search. This dissertation seeks to develop new search algorithms and techniques by taking advantage of rich context information to improve search quality and consists of two major parts. In the first part, we study the context of the query in terms of various ranking objectives of different queries. In order to improve the ranking relevance, we propose to incorporate such query context information into the ranking model. Two general approaches will be introduced in the following of this dissertation. The first one proposes to incorporate query difference into ranking by introducing query-dependent loss functions, by optimizing which we can obtain better ranking model. Then, we investigate another approach which applies a divide-and-conquer framework for ranking specialization. The second part of this dissertation investigates how to extract the context of specific Web content and explore them to build more effective search system. This study is based on the new emerging social media content. Unlike traditional Web content, social media content is inherently associated with much new context information, including content semantics and quality, user reputation, and user interactions, all of which provide useful information for acquiring knowledge from social media. In this dissertation, we seek to develop algorithms and techniques for effective knowledge acquisition from collaborative social media environments by using the dynamic context information. We first propose a new general framework for searching social media content, which integrates both the content features and the user interactions. Then, a semi-supervised framework is proposed to explicitly compute content quality and user reputation, which are incorporated into the search framework to improve the search quality. Furthermore, this dissertation also investigates techniques for extracting the structured semantics of social media content as new context information, which is essential for content retrieval and organization.
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Sowmya, Mathukumalli. "Job search portal." Kansas State University, 2016. http://hdl.handle.net/2097/34518.

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Master of Science
Department of Computer Science
Mitchell L. Neilsen
Finding jobs that best suits the interests and skill set is quite a challenging task for the job seekers. The difficulties arise from not having proper knowledge on the organization’s objective, their work culture and current job openings. In addition, finding the right candidate with desired qualifications to fill their current job openings is an important task for the recruiters of any organization. Online Job Search Portals have certainly made job seeking convenient on both sides. Job Portal is the solution where recruiter as well as the job seeker meet aiming at fulfilling their individual requirement. They are the cheapest as well as the fastest source of communication reaching wide range of audience on just a single click irrespective of their geographical distance. The web application “Job Search Portal” provides an easy and convenient search application for the job seekers to find their desired jobs and for the recruiters to find the right candidate. Job seekers from any background can search for the current job openings. Job seekers can register with the application and update their details and skill set. They can search for available jobs and apply to their desired positions. Android, being open source has already made its mark in the mobile application development. To make things handy, the user functionalities are developed as an Android application. Employer can register with the application and posts their current openings. They can view the Job applicants and can screen them according to the best fit. Users can provide a review about an organization and share their interview experience, which can be viewed by the Employers.
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Dennis, Johansson. "Search Engine Optimization and the Long Tail of Web Search." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-296388.

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In the subject of search engine optimization, many methods exist and many aspects are important to keep in mind. This thesis studies the relation between keywords and website ranking in Google Search, and how one can create the biggest positive impact. Keywords with smaller search volume are called "long tail" keywords, and they bear the potential to expand visibility of the website to a larger crowd by increasing the rank of the website for the large fraction of keywords that might not be as common on their own, but together make up for a large amount of the total web searches. This thesis will analyze where on the web page these keywords should be placed, and a case study will be performed in which the goal is to increase the rank of a website with knowledge from previous tests in mind.
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Books on the topic "Web search"

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Spink, Amanda, and Michael Zimmer, eds. Web Search. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7.

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Ceri, Stefano. Search Computing: Broadening Web Search. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Pfaffenberger, Bryan. Web search strategies. New York: MIS:Press, 1996.

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Pfaffenberger, Bryan. Web search strategies. New York: MIS Press, 1996.

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Web search garage. Upper Saddle River, NJ: Prentice Hall PTR, 2004.

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Search engines. London: Cassell, 2000.

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Amanda, Spink, and Zimmer Michael, eds. Web search: Multidisciplinary perspectives. Berlin: Springer, 2008.

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Spink, Amanda, and Bernhard J. Jansen, eds. Web Search: Public Searching of the Web. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-2269-7.

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J, Jansen Bernard, ed. Web search: Public searching on the Web. Dorndrecht, Netherlands: Kluwer Academic Publishers, 2004.

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Search engine optimization. [Calif.]: O'Reilly, 2006.

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Book chapters on the topic "Web search"

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Spink, A., and M. Zimmer. "Introduction." In Web Search, 3–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_1.

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Reilly, P. "‘Googling’ Terrorists: Are Northern Irish Terrorists Visible on Internet Search Engines?" In Web Search, 151–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_10.

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Van Couvering, E. "The History of the Internet Search Engine: Navigational Media and the Traffic Commodity." In Web Search, 177–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_11.

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Knight, S. A., and A. Spink. "Toward a Web Search Information Behavior Model." In Web Search, 209–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_12.

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Dutta, M. J., and G. D. Bodie. "Web Searching for Health: Theoretical Foundations and Connections to Health Related Outcomes." In Web Search, 235–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_13.

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Fry, J., S. Virkar, and R. Schroeder. "Search Engines and Expertise about Global Issues: Well-defined Landscape or Undomesticated Wilderness?" In Web Search, 255–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_14.

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Hendry, D. G., and E. N. Efthimiadis. "Conceptual Models for Search Engines." In Web Search, 277–307. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_15.

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Lewandowski, D., and N. Höchstötter. "Web Searching: A Quality Measurement Perspective." In Web Search, 309–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_16.

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Spink, A., and M. Zimmer. "Conclusions and Further Research." In Web Search, 343–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_17.

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Diaz, A. "Through the Google Goggles: Sociopolitical Bias in Search Engine Design." In Web Search, 11–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_2.

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Conference papers on the topic "Web search"

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Raghavan, Prabhakar. "Web search." In the sixteenth ACM conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1321440.1321441.

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Tibau, Marcelo, Sean Wolfgand Matsui Siqueira, and Bernardo Pereira Nunes. "Understanding Web Search Patterns Through Exploratory Search as a Knowledge-intensive Proces." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação (SBC), 2020. http://dx.doi.org/10.5753/sbsi.2020.13131.

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To better understand users’ intent, Web search engines need to transcend its information sorter utility and acquire a more relevant ability concerning semantics’ discernment. This master thesis presents the Exploratory Search KiP model, which helps clarify the reasons why a subject is searched and supports the visualization of decision criteria used for choosing a specific search result. It also introduces the ESKiP Taxonomy of Query States; a classification framework that helps to represent the structure and behavior of query reformulation in search systems. As a result, the artifacts allowed to identify Web search and query reformulation patterns. The Exploratory Search KiP model also aided to distinguish three main behaviors involved in exploratory searches: (1) The ability to increase the level of familiarity with the topic and content searched (topic familiarity); (2) The ability to control the search process itself; and (3) The ability to assess the retrieved information relevance. For further reading: [Dias 2019] at UNIRIO’s repository. A summary article from the complete work was submitted to an international Information System Journal and is currently under review
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Kammenhuber, Nils, Julia Luxenburger, Anja Feldmann, and Gerhard Weikum. "Web search clickstreams." In the 6th ACM SIGCOMM. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1177080.1177110.

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Dumais, Susan T. "Beyond Web Search." In WSDM '21: The Fourteenth ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3437963.3441653.

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Zaragoza, Hugo, B. Barla Cambazoglu, and Ricardo Baeza-Yates. "Web search solved?" In the 19th ACM international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1871437.1871507.

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Artiles, Javier, Satoshi Sekine, and Julio Gonzalo. "Web people search." In Proceeding of the 17th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1367497.1367661.

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Saint-Jean, Felipe, Aaron Johnson, Dan Boneh, and Joan Feigenbaum. "Private web search." In the 2007 ACM workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1314333.1314351.

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Rajkumar, N., B. Gohin, and V. Vinod. "Search engine: intelligent web service search." In IET Chennai 3rd International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.2183.

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Cava, Ricardo, Carla M. D. S. Freitas, Eric Barboni, Philippe Palanque, and Marco Winckler. "Inside-In Search: An Alternative for Performing Ancillary Search Tasks on the Web." In 2014 9th Latin American Web Congress (LA-WEB). IEEE, 2014. http://dx.doi.org/10.1109/laweb.2014.21.

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Li, Ang, Jennifer Thom, Praveen Chandar, Christine Hosey, Brian St Thomas, and Jean Garcia-Gathright. "Search Mindsets." In The World Wide Web Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3308558.3313627.

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Reports on the topic "Web search"

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Bekkerman, Ron, Shlomo Zilberstein, and James Allan. Web Page Clustering using Heuristic Search in the Web Graph. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada457111.

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Reddy, S., J. Davis, and A. Babich. Web Distributed Authoring and Versioning (WebDAV) SEARCH. Edited by J. Reschke. RFC Editor, November 2008. http://dx.doi.org/10.17487/rfc5323.

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Chang, Kevin C., Truman Shuck, and Govind Kabra. Web-Scale Search-Based Data Extraction and Integration. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada554205.

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Cruz Pantoja, Omar. Development of a Web Interface for Search and Visualization of Self-describing Data sets. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1296693.

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Tate, Austin, Jeff Dalton, Jeffrey M. Bradshaw, and Andrzej Uszok. Coalition Search and Rescue - Task Support Intelligent Task Achieving Agents on the Semantic Web. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada449044.

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Sparks, R. Requirements for Improvements to the IETF Email List Archiving, Web-Based Browsing, and Search Tool. RFC Editor, April 2016. http://dx.doi.org/10.17487/rfc7842.

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Arlitsch, Kenning. Data set supporting the dissertation Semantic Web Identity in Academic Organizations: Search engine entity recognition and the sources that influence Knowledge Graph Cards in search results. Montana State University ScholarWorks, 2016. http://dx.doi.org/10.15788/m2f590.

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Dong, Wei, Wei Zhang, Jianxu Er, Jiapeng Liu, and Jiange Han. Lesser complications of laryngeal mask airway than endotracheal tubes in pediatric airway management: A review of literature and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0066.

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Review question / Objective: The relevant expert consensus has not pointed out which ventilation device is better during general anesthesia in the pediatric airway management for elective surgery. Condition being studied: We carried out a keyword search using the terms “layngeal mask, LMA, endotracheal tube, tracheal tube, children, pediatric, anesthesia, RCT, randomized controlled trials, randomized, elective surgery.” In general, searches are developed in MEDLINE in Ovid; Embase.com; the Cochrane Central Register of Controlled Trials (CENTRAL) via the Wiley Interface; Web of Science Core Collection; PubMed restricting to records in the subset “as supplied by publisher” to find references that not yet indexed in MEDLINE; and Google Scholar. When available, these databases were searched using a combination of subject headings (such as MeSH) and filters (such as RCT). We reviewed references of included studies to identify relevant studies. We imposed no language or time restriction. The exact date of the database search is September 1, 2021.We carried out a keyword search using terms “layngeal mask, LMA, endotracheal tube, tracheal tube, children, pediatric, anesthesia, RCT, randomized controlled trials, randomized, elective surgery.”
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Qu, Pengda, Jing Huang, Shiqi Wang, Size Li, Qian Hu, Wei Wang, and Xiaohu Tang. Efficacy and safety of modified Ermiao decoction in the treatment of gouty arthritis: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0063.

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Review question / Objective: The purpose of this study is to comprehensively evaluate the efficacy and safety of modified Ermiao decoction in the treatment of gouty arthritis. Information sources: We will conduct searches of Web of Science, PubMed, Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform (Wanfang), Weipu Chinese Science and Technology Journal Full-text Database (VIP), and Chinese Biomedical Literature Database (CBM) from their inception to July 2022. In addition, trial registration platforms will also be searched for ongoing or unpublished trials, including International Clinical Trials Registry Platform and Chinese Clinical Trial Registry Centre. The languages of included studies will be restricted in English and Chinese. Medical Subject Headings and free words terms will be used during the retrieval process. The main search terms include “gouty arthritis”, “modified Ermiao”, and “randomized controlled trial.” A draft of the PubMed search strategy is included in Table 1. Similar retrieval strategies will be applied to the other databases mentioned above. We will also search for relevant systematic reviews of using MED for GA and reference lists of eligible studies to improve recall ratio.
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Wang, Yingying, Na Wang, Bofang Wang, Chenhui Ma, Rong Yu, Xueyan Wang, Yang Yu, and Hao Chen. Photodynamic therapy with or without systemic chemotherapy for unresectable extrahepatic cholangiocarcinoma: protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2022. http://dx.doi.org/10.37766/inplasy2022.6.0086.

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Review question / Objective: This study will evaluate all studies on the results of photodynamic therapy(PDT) alone, synergized with chemotherapy and chemotherapy alone on unresectable extrahepatic cholangiocarcinoma(ECC), aiming to clarify the significance of PDT in improving the outcomes of ECC patients. Information sources: We will search the PubMed, Cochrane Library, Embase, Web of science, CBM, CNKI, and Wanfang Data. All searches on these databases will be conducted from their inception to July 2022. We will also perform a manual search using the Google scholar and track the bibliographies of potentially included article to retrieve relevant gray literatures.
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