Academic literature on the topic 'Meta-search engine'
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Journal articles on the topic "Meta-search engine"
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 (December 2011): 379–91. http://dx.doi.org/10.1142/s0219649211003073.
Full textPuspitaningrum, Diyah. "TEKNIK PERANGKINGAN META-SEARCH ENGINE." Pseudocode 1, no. 1 (January 1, 2014): 15–23. http://dx.doi.org/10.33369/pseudocode.1.1.15-23.
Full textZhang, Jin, and Chi Cheung. "Meta‐search‐engine feature analysis." Online Information Review 27, no. 6 (December 2003): 433–41. http://dx.doi.org/10.1108/14684520310510073.
Full textR. 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.
Full textKejriwal, 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.
Full textLee, In-K., Seo-H. Son, and Soon-H. Kwon. "Knowledge-based Semantic Meta-Search Engine." Journal of Korean Institute of Intelligent Systems 14, no. 6 (October 1, 2004): 737–44. http://dx.doi.org/10.5391/jkiis.2004.14.6.737.
Full textBorkar, N. A., and S. V. Kulkarni. "Architecture for Personalized Meta Search Engine." International Journal of Computer Sciences and Engineering 06, no. 01 (February 28, 2018): 55–59. http://dx.doi.org/10.26438/ijcse/v6si1.5559.
Full textEl-Sayed, Maged. "SEARCHSENSE: A SEMANTIC META SEARCH ENGINE." International Journal of Intelligent Computing and Information Sciences 18, no. 1 (January 1, 2018): 15–25. http://dx.doi.org/10.21608/ijicis.2018.15907.
Full textLawrence, Steve, and C. Lee Giles. "Inquirus, the NECI meta search engine." Computer Networks and ISDN Systems 30, no. 1-7 (April 1998): 95–105. http://dx.doi.org/10.1016/s0169-7552(98)00095-6.
Full textKos, Alexander, and Hans-Jürgen Himmler. "CWM Global Search—The Internet Search Engine for Chemists and Biologists." Future Internet 2, no. 4 (December 3, 2010): 635–44. http://dx.doi.org/10.3390/fi2040635.
Full textDissertations / Theses on the topic "Meta-search engine"
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.
Full textPresgrave, 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.
Full textShen, Yipeng. "Meta-search and distributed search systems /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?COMP%202002%20SHEN.
Full textIncludes bibliographical references (leaves 138-144). Also available in electronic version. Access restricted to campus users.
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.
Full textDetta kandidatexamensarbete inriktat på tillämpad matematik och industriell ekonomi syftade till att identifiera samband mellan sökparametrar från flygsökmotorer och konverteringsgraden för utträde till ett flygbolags hemsida, och samtidigt undersöka hur uppkomsten av flygsökmotorer har påverkat flygindustrin för flygbolag. För att identifiera sådana samband, tillämpades flera klassificeringsmodeller tillsammans med stickprovsmetoder för att bygga en predikativ modell i programmet R. För att undersöka påverkan av flygsökmotorer tillämpades Porters 5 krafter och SWOT-analys som teoretiska ramverk för att analysera information uppsamlad genom en litteraturstudie och en intervju. Klassificeringsmodellerna som byggdes presterade undermåligt med avseende på flera utvärderingsmått, vilket antydde att det fanns lite eller inget samband mellan de undersökta sökparametrarna och konverteringsgraden för utträde. Porters 5 krafter och SWOT-analysen visade att flygindustrin hade blivit mer konkurrensutsatt och att flygbolag som inte lyckas anpassa sig efter en omgivning i ändring kommer att uppleva minskande lönsamhet.
"Cross-media meta-search engine." 2005. http://library.cuhk.edu.hk/record=b5892707.
Full textThesis (M.Phil.)--Chinese University of Hong Kong, 2005.
Includes bibliographical references (leaves 136-141).
Abstracts in English and Chinese.
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Overview --- p.1
Chapter 1.1.1 --- Information Retrieval --- p.1
Chapter 1.1.2 --- Search Engines --- p.2
Chapter 1.1.3 --- Data Merging --- p.3
Chapter 1.2 --- Meta-search Engines --- p.3
Chapter 1.2.1 --- Framework and Techniques Employed --- p.3
Chapter 1.2.2 --- Advantages of meta-searching --- p.8
Chapter 1.3 --- Contribution of the Thesis --- p.10
Chapter 1.4 --- Organization of the Thesis --- p.12
Chapter 2 --- Literature Review --- p.14
Chapter 2.1 --- Preliminaries --- p.14
Chapter 2.2 --- Fusion Methods --- p.15
Chapter 2.2.1 --- Fusion methods based on a document's score --- p.15
Chapter 2.2.2 --- Fusion methods based on a document's ranking position --- p.23
Chapter 2.2.3 --- Fusion methods based on a document's URL title and snippets --- p.30
Chapter 2.2.4 --- Fusion methods based on a document's entire content --- p.40
Chapter 2.3 --- Comparison of the Fusion Methods --- p.42
Chapter 2.4 --- Relevance Feedback --- p.46
Chapter 3 --- Research Methodology --- p.48
Chapter 3.1 --- Investigation of the features of the retrieved results from the search engines --- p.48
Chapter 3.2 --- Types of relationships --- p.53
Chapter 3.3 --- Order of Strength of the Relationships --- p.64
Chapter 3.3.1 --- Derivation of the weight for each kind of relationship (criterion) --- p.68
Chapter 3.4 --- Observation of the relationships between retrieved objects and the effects of these relationships on the relevance of objects --- p.69
Chapter 3.4.1 --- Observation on the relationships existed in items that are irrelevant and relevant to the query --- p.68
Chapter 3.5 --- Proposed re-ranking algorithms --- p.89
Chapter 3.5.1 --- Original re-ranking algorithm (before modification) --- p.91
Chapter 3.5.2 --- Modified re-ranking algorithm (after modification) --- p.95
Chapter 4 --- Evaluation Methodology and Experimental Results --- p.101
Chapter 4.1 --- Objective --- p.101
Chapter 4.2 --- Experimental Design and Setup --- p.101
Chapter 4.2.1 --- Preparation of data --- p.101
Chapter 4.3 --- Evaluation Methodology --- p.104
Chapter 4.3.1 --- Evaluation of the relevance of a document to the corresponding query --- p.104
Chapter 4.3.2 --- Performance Measures of the Evaluation --- p.105
Chapter 4.4 --- Experimental Results and Interpretation --- p.106
Chapter 4.4.1 --- Precision --- p.107
Chapter 4.4.2 --- Recall --- p.107
Chapter 4.4.3 --- F-measure --- p.108
Chapter 4.4.4 --- Overall evaluation results for the ten queries for each evaluation tool --- p.110
Chapter 4.4.5 --- Discussion --- p.123
Chapter 4.5 --- Degree of difference between the performance of systems --- p.124
Chapter 4.5.1 --- Analysis using One-Way ANOVA --- p.124
Chapter 4.5.2 --- Analysis using paired samples T-test --- p.126
Chapter 5 --- Conclusion --- p.131
Chapter 5.1 --- "Implications, Limitations, and Future Work" --- p.131
Chapter 5.2 --- Conclusions --- p.133
Bibliography --- p.134
Chapter A --- Paired samples T-test for F-measures of systems retrieving all media's items --- p.140
Hsu, Hsien-Ju, and 徐賢儒. "A Study of Meta-Search Engine." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/04537200484180922341.
Full text中華大學
資訊工程學系碩士班
87
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 search results. Meta-Search Engines will save users a lot of time for search. But there have some shortcoming with design of the Meta-Search Engine. Savvy Search Engine is the first one of the completely Meta-Search Engine until now. It used 中介索引檔 to build and integrated all the index of the search engines on the Internet. Nevertheless Savvy Search Engine’s Meta-index is inefficiency. Our research proposed two new Meta-index methods (Success Ration and Document Ratio) to improve Savvy Search Engine’s disadvantages. We also implemented a new Meta-Search Engine, named Uni-Search. Our research and Uni-Search Engine is towards to solve the problems of Meta-Search Engine design and improve its performance.
Lee, Yen-Chun, and 李彥醇. "The Design of Intelligent Meta Search Engine." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/70767409421123873655.
Full text大同大學
資訊工程研究所
90
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 generated by our system without knowing any background knowledge of the original keyword. User’s interaction of the search results gives a feedback to our system for further improvement of the designed model. Most of current search portals do not support cluster function between the retrieved websites, but our system can create the websites’ groups easily. We will present the architecture of designed model and illustrate how the proposed system works in finding the desired websites.
Lee, Chia-Hui, and 李嘉惠. "A Preliminary Study of the Meta Search Engine." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/62077336264653713772.
Full text立德大學
資訊傳播研究所
97
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 search name in difference search engine cause low duplicating rate for search result, accurately result will not be ensured. Therefore if you need overall and accurate search result, you have to repeatedly search, then compare, choose and prove all information by yourself. This study try to increase search source scope, and create a network version Meta Search Engine system by Java programming language. Input search request through a unification search interface to Google, Yahoo and MSN three different search engine. To collect all feedback, then go through selection, elimination, analysis, and that prioritize by market weight occupation rate, then output to line user. The user can get the information very quickly and accurately. Eventually also the study will provide suggestion and experience to researcher about internet search engine.
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.
Full text國立臺灣科技大學
資訊工程系
93
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 web pages according to their personal interests. A user's interests are represented in a user profile which can be learned from the documents that are stored in the personal computer. Due to the superior performance of support vector machines (SVMs), smooth support vector machine and several other text-classification techniques are applied to obtain user profiles. We take advantage of meta-search engine's better coverage of the Web to collect a wide variety of web pages. Meta-search engine works as a data collector, and two basic meta-ranking algorithms are proposed in our system. For personalized ranking, we re-rank the collected web pages by consulting with the user profile and the search engine preference mechanism (SEP). We simulate 6 scenarios in order to evaluate the performance of our system, which conventional search engines could not provide satisfied search results for the users. Our experimental results indicate that we successfully provide a way for the users to rank the web pages according to their interests, and also show that the personalized ranking is worth pursuing further.
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.
Full text南華大學
資訊管理學研究所
93
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 restrictions of HTML language. So this thesis proposes a Meta-Search engine structure that applies XML and XSL. Translate the retrieval result with XSL template and make the data and the presentation separately in order to reduce the difficulty of the data retrieval. Compare with the former Meta-Search engine, it provides better extension.
Books on the topic "Meta-search engine"
Temlett, Paul John. Meta-search engine for the web. Oxford: Oxford Brookes University, 2000.
Find full textAdam, Stephen. Neurosearch: A meta internet search engine utilising neural networks to categorise results. Oxford: Oxford Brookes University, 2004.
Find full textBook chapters on the topic "Meta-search engine"
Li, Qingshan, and Yingcheng Sun. "An Agent Based Intelligent Meta Search Engine." In Web Information Systems and Mining, 572–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33469-6_71.
Full textJackson, Wallace. "HTML5 Search Engine Optimization: Title and Meta." In HTML5 Quick Markup Reference, 13–18. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4302-6536-8_3.
Full textMaree, 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, 110–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17187-1_10.
Full textOliveira, Claudia, Luis Gustavo, Varges Resende, and Roberto Lehmann. "Interactive Query Expansion in a Meta-search Engine." In Next Generation Information Technologies and Systems, 50–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48521-x_5.
Full textYong, Suet Peng, and Wan Nordiana Wan Abd Kadir. "A Meta-search Engine with Hits Redundancies Filtering." In Lecture Notes in Electrical Engineering, 589–97. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-74938-9_40.
Full textXie, Nengfu, and Wensheng Wang. "RESEARCH ON AGRICULTURE DOMAIN META-SEARCH ENGINE SYSTEM." In IFIP Advances in Information and Communication Technology, 1397–403. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0211-5_68.
Full textSiji Rani, S., and S. Goutham. "A Novel Approach for Meta-Search Engine Optimization." In Advances in Intelligent Systems and Computing, 377–86. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5934-7_34.
Full textFang, Qizhi, Han Xiao, and Shanfeng Zhu. "Top-d Rank Aggregation in Web Meta-search Engine." In Frontiers in Algorithmics, 35–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14553-7_6.
Full textChen, 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, 181–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45703-8_17.
Full textFeng, Junliang, Junzhong Gu, and Zili Zhou. "An Improved Ranking Aggregation Method for Meta-Search Engine." In Lecture Notes in Electrical Engineering, 193–200. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6738-6_25.
Full textConference papers on the topic "Meta-search engine"
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.
Full textChaurasia, 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.
Full textKeong, 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.
Full textKumar, 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.
Full textJiandong 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.
Full textLiu, 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.
Full textGulli, A., and A. Signorini. "Building an open source meta-search engine." In Special interest tracks and posters of the 14th international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1062745.1062840.
Full textKruepl, Bernhard, Wolfgang Holzinger, Yansen Darmaputra, and Robert Baumgartner. "A flight meta-search engine with metamorph." In the 18th international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1526709.1526860.
Full textGhaderi, 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.
Full text"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.
Full text