Добірка наукової літератури з теми "Search engine"
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Статті в журналах з теми "Search engine"
MINASYAN, Vladimir. "Search Engine Friendliness of Search Engine Marketing Methods." Journal of Business 3, no. 1 (October 2, 2014): 47–51. http://dx.doi.org/10.31578/job.v3i1.80.
Повний текст джерелаManjula, D., and T. V. Geetha. "Semantic Search Engine." Journal of Information & Knowledge Management 03, no. 01 (March 2004): 107–17. http://dx.doi.org/10.1142/s0219649204000729.
Повний текст джерелаJha, Radhika. "Xperia Search Engine." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 6331–40. http://dx.doi.org/10.22214/ijraset.2023.52996.
Повний текст джерелаLee, Sungin, Wonhong Jang, Eunsol Lee, and Sam G. Oh. "Search engine optimization." Library Hi Tech 34, no. 2 (June 20, 2016): 197–206. http://dx.doi.org/10.1108/lht-02-2016-0014.
Повний текст джерелаLi, Yi, Zhihui Yuan, Yujie Li, and Jing Liu. "Factors influencing search engine usage behavior." Social Behavior and Personality: an international journal 46, no. 1 (January 9, 2018): 1–10. http://dx.doi.org/10.2224/sbp.6211.
Повний текст джерелаGoyal, Harsh, and Komal kapoor. "Search Engine Optimization with Google." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 496–501. http://dx.doi.org/10.22214/ijraset.2022.47904.
Повний текст джерелаStevenson, Valerie. "Search Engine Update." Legal Information Management 1, no. 3 (2001): 28–31. http://dx.doi.org/10.1017/s1472669600000566.
Повний текст джерелаTakama, Yasufumi, Yanjun Zhu, Shogo Kori, Koichi Yamaguchi, Lieu-Hen Chen, and Hiroshi Ishikawa. "Design of Context Search Engine Based on Analysis of User’s Search Intentions." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 6 (November 20, 2016): 910–18. http://dx.doi.org/10.20965/jaciii.2016.p0910.
Повний текст джерелаde Cornière, Alexandre. "Search Advertising." American Economic Journal: Microeconomics 8, no. 3 (August 1, 2016): 156–88. http://dx.doi.org/10.1257/mic.20130138.
Повний текст джерелаRadadiya, 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.
Повний текст джерелаДисертації з теми "Search engine"
Blaauw, Pieter. "Search engine poisoning and its prevalence in modern search engines." Thesis, Rhodes University, 2013. http://hdl.handle.net/10962/d1002037.
Повний текст джерелаFahlström, Kamilla, and Caroline Jensen. "Search Engine Marketing in SMEs : The motivations behind using search engine marketing." Thesis, Högskolan i Gävle, Avdelningen för ekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-21116.
Повний текст джерелаHurlock, Jonathan. "Twitter search : building a useful search engine." Thesis, Swansea University, 2015. https://cronfa.swan.ac.uk/Record/cronfa43037.
Повний текст джерелаNarayan, Nitesh. "Advanced Intranet Search Engine." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9408.
Повний текст джерелаInformation retrieval has been a prevasive part of human society since its existence.With the advent of internet and World wide Web it became an extensive area of researchand major foucs, which lead to development of various search engines to locate the de-sired information, mostly for globally connected computer networks viz. internet.Butthere is another major part of computer network viz. intranet, which has not seen muchof advancement in information retrieval approaches, in spite of being a major source ofinformation within a large number of organizations.Most common technique for intranet based search engines is still mere database-centric. Thus practically intranets are unable to avail the benefits of sophisticated tech-niques that have been developed for internet based search engines without exposing thedata to commercial search engines.In this Master level thesis we propose a ”state of the art architecture” for an advancedsearch engine for intranet which is capable of dealing with continuously growing sizeof intranets knowledge base. This search engine employs lexical processing of doc-umetns,where documents are indexed and searched based on standalone terms or key-words, along with the semantic processing of the documents where the context of thewords and the relationship among them is given more importance.Combining lexical and semantic processing of the documents give an effective ap-proach to handle navigational queries along with research queries, opposite to the modernsearch engines which either uses lexical processing or semantic processing (or one as themajor) of the documents. We give equal importance to both the approaches in our design,considering best of the both world.This work also takes into account various widely acclaimed concepts like inferencerules, ontologies and active feedback from the user community to continuously enhanceand improve the quality of search results along with the possibility to infer and deducenew knowledge from the existing one, while preparing for the advent of semantic web.
King, John D. "Search engine content analysis." Queensland University of Technology, 2008. http://eprints.qut.edu.au/26241/.
Повний текст джерелаEdlund, Joakim. "Cognitive Search Engine Optimization." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281882.
Повний текст джерелаAnvändandet av sökmotorer är idag en vanlig metod för att navigera genom information. Det akademiska området informationssökning studerar metoder för att hitta dokument inom stora ostrukturerade samlingar av dokument. Det finns flera standardlösningar inom området som ämnas att lösa problemet. Det finns även ett flertal mer avancerade tekniker, ofta baserade på maskininlärning, vars mål är att öka relevansen hos resultaten ytterligare. Att välja rätt algoritm är dock inte trivialt och att avgöra vilken som ger bäst resultat kan tyckas vara svårt. I det här projektet används en ofta använd sökmotor, elasticsearch, i dess standarduppsättning och utvärderas mot vanligen använda mätvärden inom informationssökning (precision, täckning och f-värde). Efter att standaruppsättningens resultat har etablerats så implementeras en frågeutvidgningsalgoritm (query expansion), baserad på Word2Vec, och en rekommendationsalgoritm baserad på collaborative filtering. Alla tre modellerna jämförs senare mot varandra efter de tre mätvärdena. Slutligen implementeras även en kombinerad modell av både Word2Vec och collaborative filtering för att se om det går att nyttja båda modellernas styrkor för en ännu bättre modell. Resultaten visar att både Word2Vec och collaborative filtering ger bättre resultat för alla mätvärden. Resultatförbättringarna kunde verifieras som signifikant bättre efter en statistisk analys. Collaborative filtering verkar prestera bäst när man endast tillåter ett få- tal dokument i resultatmängden medan word2vec blir bättre desto större resultatmängden är. Den kombinerade modellen visade en signifikant förbättring för resultatmängder i storlekarna 3 och 5. Större resultatmängder visade dock ingen förbättring eller till och med en försämring gentemot word2vec och collaborative filtering.
King, John Douglas. "Search engine content analysis." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/26241/1/John_King_Thesis.pdf.
Повний текст джерелаKhan, Saiful. "Visualization assisted enterprise search engine." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:d1790b99-c30e-487b-b87e-98d4e3a8b2bb.
Повний текст джерелаSlavík, Michal. "Search Engine Marketing neziskových organizací." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-124602.
Повний текст джерелаFISTER, JUSTIN M. "CORRELATION ANALYSIS OF ON-PAGE ATTRIBUTES AND SEARCH ENGINE RANKINGS." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1178730597.
Повний текст джерелаКниги з теми "Search engine"
Search engine optimization. [Calif.]: O'Reilly, 2006.
Знайти повний текст джерелаSearch engine visibility. 2nd ed. Berkeley, CA: New Riders, 2008.
Знайти повний текст джерелаGrappone, Jennifer. Search Engine Optimization. New York: John Wiley & Sons, Ltd., 2008.
Знайти повний текст джерелаSusan, Esparza, and Clay, eds. Search Engine Optimization. Hoboken: For Dummies [Imprint], 2009.
Знайти повний текст джерелаSearch Engine Optimization. 2nd ed. Hoboken: Wiley [Imprint], 2009.
Знайти повний текст джерелаThe Search Engine. Philadelphia, USA: American Poetry Review, 2002.
Знайти повний текст джерелаSearch engine society. Cambridge: Polity, 2009.
Знайти повний текст джерелаRamos, Andreas. Search Engine Marketing. New York: McGraw-Hill, 2008.
Знайти повний текст джерелаStephanie, Cota, ed. Search engine marketing. New York: McGraw-Hill, 2009.
Знайти повний текст джерелаSearch engine visibility. Indianapolis, Ind: New Riders, 2003.
Знайти повний текст джерелаЧастини книг з теми "Search engine"
Weik, Martin H. "search engine." In Computer Science and Communications Dictionary, 1528. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_16727.
Повний текст джерелаRennie, Frank, and Keith Smyth. "Search engine." In Digital Learning: The Key Concepts, 125–26. 2nd ed. London: Routledge, 2019. http://dx.doi.org/10.4324/9780429425240-167.
Повний текст джерелаDas, Subhankar. "Search Engine Algorithm and Search Engine Marketing." In Search Engine Optimization and Marketing, 117–80. First edition. | Boca Raton : CRC Press, 2021.: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429298509-6.
Повний текст джерелаThelwall, Michael. "Automatic Search Engine Searches: LexiURL Searcher." In Introduction to Webometrics: Quantitative Web Research for the Social Sciences, 57–70. Cham: Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-02261-6_5.
Повний текст джерелаGoldman, E. "Search Engine Bias and the Demise of Search Engine Utopianism." In Web Search, 121–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_8.
Повний текст джерелаLieberam-Schmidt, Sönke. "Search Engine Optimization." In Analyzing and Influencing Search Engine Results, 163–203. Wiesbaden: Gabler, 2010. http://dx.doi.org/10.1007/978-3-8349-8915-4_5.
Повний текст джерелаCarterette, Ben. "Search Engine Metrics." 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_325-2.
Повний текст джерелаVan Looy, Amy. "Search Engine Optimization." In Social Media Management, 113–32. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21990-5_6.
Повний текст джерелаLi, Mingjing, and Wei-Ying Ma. "Image Search Engine." In Encyclopedia of Multimedia, 335–37. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_81.
Повний текст джерелаWest, Adrian W. "Search Engine Optimization." In Practical Web Design for Absolute Beginners, 169–82. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1993-5_19.
Повний текст джерелаТези доповідей конференцій з теми "Search engine"
Arkhipova, Olga, Lidia Grauer, Igor Kuralenok, and Pavel Serdyukov. "Search Engine Evaluation based on Search Engine Switching Prediction." In SIGIR '15: The 38th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2766462.2767786.
Повний текст джерелаKnok, Zeljko, and Mark Marcec. "Universtiy search engine." In 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2016. http://dx.doi.org/10.1109/mipro.2016.7522267.
Повний текст джерелаZhang, Jie, Xiong Zhang, and Wei Zhang. "Microseismic search engine." In SEG Technical Program Expanded Abstracts 2013. Society of Exploration Geophysicists, 2013. http://dx.doi.org/10.1190/segam2013-1277.1.
Повний текст джерелаAldweik, Ghadeer, Saadia Malik, Abrar Almuhammidi, Wejdan Alyoubi, Ahad Alsulami, and Hind Al-Oufi. "PHARMACEUTICAL SEARCH ENGINE." In International Conference on e-Society 2020. IADIS Press, 2020. http://dx.doi.org/10.33965/es2020_202005l011.
Повний текст джерелаKamath, Abhirup, Siddhesh Menon, Archita Poddar, Vijay Katkar, and Savita Lohiya. "Programmer's Search Engine." In 2019 International Conference on Advances in Computing, Communication and Control (ICAC3). IEEE, 2019. http://dx.doi.org/10.1109/icac347590.2019.9036840.
Повний текст джерелаRajkumar, 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.
Повний текст джерелаFagroud, Fatima Zahra, El Habib Ben Lahmar, Mohamed Amine, Hicham Toumi, and Sanaa El Filali. "What does mean search engine for IOT or IOT search engine." In BDIoT'19: The 4th International Conference On Big Data and Internet of Things. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3372938.3372958.
Повний текст джерелаKumar, 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.
Повний текст джерелаSchultz, Carsten D. "SEARCH TRIANGLE: INTEGRATING SEARCH INTENTION IN SEARCH ENGINE ADVERTISING." In Bridging Asia and the World: Global Platform for Interface between Marketing and Management. Global Alliance of Marketing & Management Associations, 2016. http://dx.doi.org/10.15444/gmc2016.12.01.02.
Повний текст джерелаZhu, Yunzhang, Gang Wang, Junli Yang, Dakan Wang, Jun Yan, Jian Hu, and Zheng Chen. "Optimizing search engine revenue in sponsored search." In the 32nd international ACM SIGIR conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1571941.1572042.
Повний текст джерелаЗвіти організацій з теми "Search engine"
Aldrich, Susan. Northern Light Enterprise Search Engine V.3.0. Boston, MA: Patricia Seybold Group, June 2005. http://dx.doi.org/10.1571/pr6-23-05cc.
Повний текст джерелаAldrich, Susan. Who Needs a Premium Product Search Engine? Boston, MA: Patricia Seybold Group, January 2004. http://dx.doi.org/10.1571/psgp1-9-04cc.
Повний текст джерелаAldrich, Susan. Five Steps in Selecting a Search Engine. Boston, MA: Patricia Seybold Group, October 2008. http://dx.doi.org/10.1571/psgp10-23-08cc.
Повний текст джерелаSeacord, Robert C., Scott A. Hissam, and Kurt C. Wallnau. Agora: A Search Engine for Software Components. Fort Belvoir, VA: Defense Technical Information Center, August 1998. http://dx.doi.org/10.21236/ada351653.
Повний текст джерелаGagarin, A. YU, S. I. Kazakov, and V. E. Ovsyannikov. Information search engine «Technology of mechanical engineering». OFERNIO, April 2023. http://dx.doi.org/10.12731/ofernio.2023.25142.
Повний текст джерелаAldrich, Susan. Search Engine Marketing and Optimization Wisdom V.2003. Boston, MA: Patricia Seybold Group, December 2003. http://dx.doi.org/10.1571/psgp12-19-03cc.
Повний текст джерелаAdams, Paige, Pranav Anand, Grant Gehrke, Ralucca Gera, Marco Draeger, Craig Martell, and Kevin Squire. ReSEARCH: A Requirements Search Engine: Progress Report 2. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada529465.
Повний текст джерелаRamos, Lionel R. Hardware Realization of an Ethernet Packet Analyzer Search Engine. Fort Belvoir, VA: Defense Technical Information Center, June 2000. http://dx.doi.org/10.21236/ada392128.
Повний текст джерелаMager, Astrid, ed. Search engine imaginary - Visions and values in the co-production of search technology and Europe. Vienna: self, 2018. http://dx.doi.org/10.1553/ita-pa-am-2017.
Повний текст джерелаCuevas, Leslie M., Jewon Lyu, and Heejin Lim. Instagram As a Search Engine: Can Browsers Convert to Shoppers? Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-295.
Повний текст джерела