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Relevant bibliographies by topics / Metasearch engine

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Academic literature on the topic 'Metasearch engine'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Metasearch engine"

1

LeVan, Ralph. "OpenSearch and SRU: A Continuum of Searching." Information Technology and Libraries 25, no. 3 (September 1, 2006): 151. http://dx.doi.org/10.6017/ital.v25i3.3346.

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Not all library content can be exposed as HTML pages for harvesting by search engines such as Google and Yahoo!. If a library instead exposes its content through a local search interface, that content can then be found by users of metasearch engines such as A9 and Vivísimo. The functionality provided by the local search engine will affect the functionality of the metasearch engine and the findability of the library’s content. This paper describes that situation and some emerging standards in the metasearch arena that choose different balance points between functionality and ease of implementation.

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Ali, Rashid, Anjali Saxena, Richa Gupta, and M. M. Sufyan Beg. "Myriad- a Novel User Feedback Based Metasearch Engine." Advanced Materials Research 433-440 (January 2012): 7554–62. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.7554.

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Metasearch engine is a system that provides unified access to multiple existing search engines. After the results returned from all used component search engines are collected, the metasearch system merges the results into a single ranked list which is expected to be better than the results of the best of the participating search systems. The success of a metasearch engine depends mainly on their rank aggregation method. The system is a better one, if the aggregated list of results displayed before the user satisfies the user with his information need. In this paper, we discuss the development of a metasearch engine that performs user feedback based metasearching using modified rough set based aggregation. Metasearching using the modified rough set based aggregation is performed in two phases namely the ranking rule learning phase and the rank aggregation phase. For each query in the training set, we mine the ranking rules and select the best rules-set by performing cross-validation test. Once the system is trained, we use the best rule set to get the overall ranking for the results returned from different search systems in response to other queries. We also present few snapshots of our system.

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Meng, Weiyi, and Clement T. Yu. "Advanced Metasearch Engine Technology." Synthesis Lectures on Data Management 2, no. 1 (January 2010): 1–129. http://dx.doi.org/10.2200/s00307ed1v01y201011dtm011.

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Sadeghi, Hamid. "Assessing metasearch engine performance." Online Information Review 33, no. 6 (November 27, 2009): 1058–65. http://dx.doi.org/10.1108/14684520911011007.

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Davison, Brian D. "The potential of the metasearch engine." Proceedings of the American Society for Information Science and Technology 41, no. 1 (September 22, 2005): 393–402. http://dx.doi.org/10.1002/meet.1450410146.

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Shu, Bo, and Subhash Kak. "A neural network-based intelligent metasearch engine." Information Sciences 120, no. 1-4 (November 1999): 1–11. http://dx.doi.org/10.1016/s0020-0255(99)00062-6.

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Srinivasa Rao, Pappu, and Devara Vasumathi. "Utilization of Co-occurrence Pattern Mining with Optimal Fuzzy Classifier for Web Page Personalization." Journal of Intelligent Systems 27, no. 2 (March 28, 2018): 249–62. http://dx.doi.org/10.1515/jisys-2016-0157.

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AbstractSeveral users use metasearch engines directly or indirectly to access and gather data from more than one data source. The effectiveness of a metasearch engine is majorly determined by the quality of the results it returns in response to user queries. The rank aggregation methods that have been proposed until now exploit a very limited set of parameters, such as total number of used resources and the rankings they achieved from each individual resource. In this paper, we use the fuzzy-bat to merge the score computation module effectively. Initially, we give a query to different search engines we use and the topnlist from each search engine is chosen for further processing our technique. We then merge the topnlist based on unique links, and we do some parameter calculations such as title-based calculation, snippet-based calculation, content-based calculation, address-based calculation, link-based calculation, uniform resource locator-based calculation, and co-occurrence-based calculation. We give the solutions of the calculations with the user given the ranking of links to the fuzzy-bat to train the system. The system then ranks and merges the links we obtain from different search engines for the query we give.

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Jansen, Bernard J., Amanda Spink, and Sherry Koshman. "Web searcher interaction with the Dogpile.com metasearch engine." Journal of the American Society for Information Science and Technology 58, no. 5 (2007): 744–55. http://dx.doi.org/10.1002/asi.20555.

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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 (July 4, 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 processed query from the Meta search engine. The collected data is merged using an algorithm and the algorithm will be a major factor in giving the best possible results. In this paper, we are going to discuss about the various existing metasearch engines and the different merging techniques and their approaches.

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Yang, Xiaohua, and Minjie Zhang. "Rational constraints for fusion methods in metasearch engine systems." International Journal of Intelligent Systems 19, no. 1-2 (January 2004): 177–90. http://dx.doi.org/10.1002/int.10160.

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Dissertations / Theses on the topic "Metasearch engine"

1

Agno, Andrew. "An intelligent metasearch engine for the World Wide Web." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0014/MQ53383.pdf.

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Tan, Qingzhao. "The development of an effective co-training framework for adapting metasearch engine rankers /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?COMP%202004%20TAN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.
Includes bibliographical references (leaves 65-70). Also available in electronic version. Access restricted to campus users.

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Fransson, Johan Hansson Anders. "Primär eller sekundär söktjänst? : en effektivitetsstudie av söktjänsten Google och metasöktjänsten Dogpile = [Primary or secondary search engine?] : [a study of the retrieval performance of the search engine Google and the metasearch engine Dogpile] /." Borås : Högsk. i Borås, Bibliotekshögskolan/Biblioteks- och informationsvetenskap, 2004. http://www.hb.se/bhs/slutversioner/2004/04-51.pdf.

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Mikaelsson, André, and Gustav Mikkelsen. "The Metasearch Road to Purchase : An investigation of the Touchpoints on Metasearch Engines in the Travel Distribution Industry." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-376583.

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The travel distribution industry is growing. While traditional distribution channels such as online travel agencies and physical stores are decreasing in revenues, metasearch companies are receiving greater attention from consumers. However, metasearch companies face challenges even with an increasing market. Offering a proposition with a business model that revolves around pay per click and advertisements, you are in need of large amount of traffic. To understand the consumer behaviour has never been more critical. It is about increasing the ability to create a rich customer experience. In order to do so, companies are in need of understanding how to interact with consumers. The interaction is mainly occurring through touchpoints. Accordingly, the aim of this study is to investigate how the current identified most relevant digital touchpoints are having impact on the consumers opinion of metasearch websites in the travel distribution industry. By doing so, we contribute to marketing theory, method and practices. The importance of certain touchpoints and to find out if they have the same relevance when the purchase itself is excluded. Focus is being towards factors that metasearch companies see as undiscovered. A quantitative study was conducted with a sample of 148 respondents. The result not only gave new insight in terms of touchpoints relevance in metasearch industries but also a theoretical ground for future research.

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Chen, Zei-Rong, and 陳志榮. "Classifier maintenance system of Database classification for Metasearch engine." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/88173848066171337303.

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碩士
元智大學
資訊管理學系
90
The Internet has become a vast information resource in recent years. To help ordinary users find desired data in Internet, many search engines have been created , but no one can contain the all information of Internet. Users are hard to choose which search engines are suitable for use and spend extra time to learn to use each different search engines. Metasearch engine offer mechanisms to search for the search engine that suitable for user needs. The selection algorithm used by a Metasearch engine to determine whether a search engine should be sent the query. Database classification is part of Database selection process. Database classification have increased selection procedure efficiency. Accuracy is important in Database classification. If Database classification. The wrong classification affect the accuracy and efficiency of database selection procedure. In this study, A Classifier maintenance system is designed and implemented. The main propose is to avoid the bad classifyer. The accurate classification procedure could improve efficacy of database selection.

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Lin, Hsin-yen, and 林欣彥. "A Study on Weighting Metasearch Engine and Detecting Web Pages." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/qq44xa.

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碩士
朝陽科技大學
資訊管理系碩士班
91
The information on the Internet grows fast. Many people surf on the Internet with single search engine, such as Google, Openfind, and so on. But when users really search their requirement information, they usually need two or more search engines to find out their information. We can’t know the searching results from these search engines whether they meet requirement or not and the searching results are the alive linking now. In this thesis, we propose a idea for the weighting metasearch engine and detecting web pages. First, users enter searching keywords and select the query combination and the weight of their search engines. The information retrieval module will adjust the format of these queries and dispatch it to the search engine selector to start the task of the searching. Next, metasearch engine will return the results from heterogonous search engines and the information filtering module will filter these repeated web pages. Finally, the information integration module will resort the orders of the results and the information detecting module will also perform detecting the web page. The system incorporates the searching results from the selected search engines and considerates the user’s favor extent for their selected search engines. Thus, this can enhance the precision and efficacy to really meet user’s information requirement and quickly know the alive linking of these searching results. Through the processing, the user can procure the task of the searching data effectively.

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Chen, Lin-Chih, and 陳林志. "An Intelligent Metasearch Engine with Link Prediction and Page Clipping Generation Capabilities." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/05606841152277837551.

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博士
國立臺灣科技大學
資訊管理系
93
This dissertation studies the design of an intelligent metasearch engine that is capable of predicting a user’s next accesses and recommending combination of paragraphs from relevant web pages in a page clipping format. Our approach is based on observation of general users’ browsing behavior in which users prefer top ranking items in search results. Three search methods are implemented in this engine. First, the Search engine Vector Voting (SVV) method combines search results from six well known search engines and re-arranges the ranking order of these search results according to their weights obtained from user behavior function. The adoption of SVV is to eliminate possible bias of any single search engine. Then, the HyperLink Prediction (HLP) method predicts all the hyperlinks that users are most likely to visit starting from the seed URLs in SVV search results. User evaluation results indicate that users are more satisfied with our HLP search methods than general search engines. Also, effectiveness measure results indicate that both SVV and HLP out-perform other commercial metasearch engines. Finally, the Page Clipping Synthesis (PCS) method extracts paragraphs from the web pages collected by the HLP method. These paragraphs are arranged in a page clipping format. PCS applies a dynamically terminated genetic algorithm to generate a set of best-of-run page clippings in a controlled amount of time. These page clippings provide users the information they are most interested in and therefore save the users time and trouble in browsing lots of hyperlinks. We justify that the dynamically terminated genetic algorithm yields cost effective solutions with comparisons to solutions reached by conventional genetic algorithms. Meanwhile, effectiveness measure confirms that PCS performs better than general search engines.

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NEDOROSTOVÁ, Táňa. "E-commerce v hotelnictví." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-175540.

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This thesis provides comprehensive insight into the current status of e-commerce usage among chosen small and medium sized hotels in South Bohemian region. The main objective is to prepare the instruments and proposals for the use of e-commerce tools for online sale in a particular hotel. In the theoretical part the concepts associated with areas of tourism, hospitality, marketing, internet, internet marketing and e-commerce are defined. In the practical part are evaluated results of a survey of usage of e-commerce tools in selected small and medium sized hotels within South Bohemia region. This is followed by characterization and description of the current state of the selected hotel, its comparison with similar subjects. Based on the information gained, last section contains appropriate suggestions.

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Horng, Chih-Yi, and 洪志毅. "A Feature-based Selection of Search Engines for Improving Metasearch Quality." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/66223886251797265099.

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LEE, CHIH-MIN, and 李志敏. "An investigation of factors affecting customer selection of online hotel booking channels -Comparing OTAs and metasearch engines." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ebybbu.

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碩士
開南大學
觀光運輸學院碩士在職專班
107
With the rise of the online booking platform OTA (Online Travel Agent) and the metasearch engines, the modern hotel reservations are more diversified. At present, research rarely compares the consumption behavior of these two. In order to understand the OTA and metasearch engines dominate the current online hotel reservation market, and what are the key factors for consumers to choose online booking websites? And compare the reasons for online booking consumers through the two types of (OTA and comparison network) sites to understand whether the factors affecting OTA and metasearch engines are different. The study conducted a survey on consumers who actually used online reservations at the Taoyuan Travel Exhibition. A total of 405 questionnaires were issued, and 390 valid questionnaires were obtained, with an effective rate of 92%. The results of this study show that the product price, customer relationship and search intent on the OTA website have a significant impact on behavior intention through regression analysis. On metasearch engines, its website quality, customer relationship and search intention have a significant impact on behavior intention. Customer relationships and search intent have a significant impact on both types of websites (OTA and metasearch engines). In two chennels, consumers may influence behavior intentions due to previous experience, relatives or positive feedback. The quality of the website performing better on metasearch engines. Consumers will find more rooms, get more accurate information on travel products, and get better post-purchase services. The results of this study are expected to provide practical advices for online booking platforms, and position their own business methods better and provide it as a reference for future research.

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Books on the topic "Metasearch engine"

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Agno, Andrew. An intelligent metasearch engine for the world wide web. Ottawa: National Library of Canada, 2000.

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Meng, Weiyi, and Clement Yu. Advanced Metasearch Engine Technology. Morgan & Claypool Publishers, 2010.

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Book chapters on the topic "Metasearch engine"

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Wu, Guowen, Liang Zhang, Yin Kang, Jun Yin, Xiangdong Zhou, Peiyi Zhang, and Lin Zhao. "A Metasearch Engine with Automatic Resource Binding Ability." In Digital Libraries: International Collaboration and Cross-Fertilization, 642. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30544-6_76.

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Vijaya, P., and Satish Chander. "Metasearch Engine: A Technology for Information Extraction in Knowledge Computing." In Knowledge Computing and its Applications, 209–33. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8258-0_10.

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Srinivas, K., A. Govardhan, V. Valli Kumari, and P. V. S. Srinivas. "Concept Similarity and Cosine Similarity Result Merging Approaches in Metasearch Engine." In Lecture Notes in Electrical Engineering, 65–74. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3363-7_8.

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De, Arijit, Elizabeth D. Diaz, and Vijay Raghavan. "A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch." In Lecture Notes in Computer Science, 95–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72530-5_11.

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Meng, Weiyi. "Metasearch Engines." In Encyclopedia of Database Systems, 2248–53. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_217.

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Meng, Weiyi. "Metasearch Engines." In Encyclopedia of Database Systems, 1730–34. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_217.

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Meng, Weiyi. "Metasearch Engines." In Encyclopedia of Database Systems, 1–6. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_217-2.

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Lu, Yiyao, Weiyi Meng, Liangcai Shu, Clement Yu, and King-Lup Liu. "Evaluation of Result Merging Strategies for Metasearch Engines." In Lecture Notes in Computer Science, 53–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11581062_5.

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Wu, Zonghuan, Vijay Raghavan, Weiyi Meng, Hai He, Clement Yu, and Chun Du. "Creating Customized Metasearch Engines on Demand Using SE-LEGO." In Advances in Web-Age Information Management, 503–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45160-0_49.

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Vila, Trinidad Domínguez, and Elisa Alén González. "CRM as a Key Element in Online Commercialization: Analysis of Tourism Search and Metasearch Engines." In Advances in Tourism, Technology and Smart Systems, 173–88. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-2024-2_16.

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Conference papers on the topic "Metasearch engine"

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Han, Eui-Hong, George Karypis, Doug Mewhort, and Keith Hatchard. "Intelligent metasearch engine for knowledge management." In the twelfth international conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/956863.956955.

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Adeli, Somayeh, and Mohammad Pourmahmood Aghababa. "Metasearch engine result optimization using reformed genetic algorithm." In 2019 9th International Conference on Computer and Knowledge Engineering (ICCKE). IEEE, 2019. http://dx.doi.org/10.1109/iccke48569.2019.8964735.

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Wu, Zonghuan, Weiyi Meng, Clement Yu, and Zhuogang Li. "Towards a highly-scalable and effective metasearch engine." In the tenth international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/371920.372093.

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Wang, Meijia, Qingshan Li, Yishuai Lin, and Boyu Zhou. "A personalized result merging method for metasearch engine." In the 6th International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3056662.3056698.

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Gupta, Daya, and Devika Singh. "MetaFusion: An efficient metasearch engine using genetic algorithm." In 2016 Ninth International Conference on Contemporary Computing (IC3). IEEE, 2016. http://dx.doi.org/10.1109/ic3.2016.7880228.

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Beigi, Mandis, Ana B. Benitez, and Shih-Fu Chang. "MetaSEEk: a content-based metasearch engine for images." In Photonics West '98 Electronic Imaging, edited by Ishwar K. Sethi and Ramesh C. Jain. SPIE, 1997. http://dx.doi.org/10.1117/12.298436.

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Desai, Ronak, Qi Yang, Zonghuan Wu, Weiyi Meng, and Clement Yu. "Identifying redundant search engines in a very large scale metasearch engine context." In the eighth ACM international workshop. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1183550.1183562.

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CHEN, JUNJIE, YUN XUE, and HANTAO SONG. "THE FRAME OF A METASEARCH ENGINE BASED ON AGENT." In Proceedings of the Second International Conference. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812704313_0014.

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Wang, Meijia, Qingshan Li, and Yishuai Lin. "A Personalized Metasearch Engine Based on Multi-agent System (P)." In The 30th International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2018. http://dx.doi.org/10.18293/seke2018-082.

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Glover, Eric J., Steve Lawrence, William P. Birmingham, and C. Lee Giles. "Architecture of a metasearch engine that supports user information needs." In the eighth international conference. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/319950.319980.

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