Academic literature on the topic 'Yelü'
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Journal articles on the topic "Yelü"
Hui, Ming Tak Ted. "Journeys to the West: Travelogues and Discursive Power in the Making of the Mongol Empire." Journal of Chinese Literature and Culture 7, no. 1 (April 1, 2020): 60–86. http://dx.doi.org/10.1215/23290048-8313520.
Full textWu, Yingzhe, Jiruhe, and Daruhan Peng. "Interpretation of the Epitaph of Changgun Yelü Zhun of Great Liao in Khitan Large Script." Acta Orientalia Academiae Scientiarum Hungaricae 70, no. 2 (June 2017): 217–51. http://dx.doi.org/10.1556/062.2017.70.2.5.
Full text吴英喆. "About the new materials of Xiao dilu and Yelü xiangwen epitaph in the Khitan Small Script." ALTAI HAKPO ll, no. 22 (June 2012): 111–19. http://dx.doi.org/10.15816/ask.2012..22.005.
Full textGalbayar, Gombosyryn, and Maria P. Petrova. "The Hidden Meanings and Poetic Features of the Treatise “Činggis-un yisün örlüg-tei öničin köbegün-ü čečelegsen šastir”." Vestnik of Saint Petersburg University. Asian and African Studies 14, no. 3 (2022): 488–506. http://dx.doi.org/10.21638/spbu13.2022.307.
Full textIII, Joseph G. Dawson, and William W. Hughes. "Archibald Yell." Journal of the Early Republic 10, no. 4 (1990): 621. http://dx.doi.org/10.2307/3123653.
Full textCutrer, Thomas W., William W. Hughes, and John S. D. Eisenhower. "Archibald Yell." Journal of Southern History 56, no. 1 (February 1990): 109. http://dx.doi.org/10.2307/2210672.
Full textChamberlain, Steven P., and Theresa L. Earles-Vollrath. "Mitchell Yell." Intervention in School and Clinic 39, no. 4 (March 2004): 236–39. http://dx.doi.org/10.1177/10534512040390040601.
Full textImanbaeva, S., and А. Mombek. "Abai’s heritage – the basis for the formation of intellectual personality." Pedagogy and Psychology 43, no. 2 (June 30, 2020): 192–96. http://dx.doi.org/10.51889/2020-2.2077-6861.25.
Full textReddin van Tuyll, Debra. "The Rebels Yell." American Journalism 17, no. 2 (April 2000): 15–29. http://dx.doi.org/10.1080/08821127.2000.10739236.
Full textROCKOFF, ALAN. "Yikes, It's Yelp!" Skin & Allergy News 39, no. 8 (August 2008): 16. http://dx.doi.org/10.1016/s0037-6337(08)70533-3.
Full textDissertations / Theses on the topic "Yelü"
King, Nicole. "Just yell fire, a collaborative creation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq24635.pdf.
Full textTata, Maitreyi. "Data analytics on Yelp data set." Kansas State University, 2017. http://hdl.handle.net/2097/38237.
Full textDepartment of Computing and Information Sciences
William H. Hsu
In this report, I describe a query-driven system which helps in deciding which restaurant to invest in or which area is good to open a new restaurant in a specific place. Analysis is performed on already existing businesses in every state. This is based on certain factors such as the average star rating, the total number of reviews associated with a specific restaurant, the price range of the restaurant etc. The results will give an idea of successful restaurants in a city, which helps you decide where to invest and what are the things to be kept in mind while starting a new business. The main scope of the project is to concentrate on Analytics and Data Visualization.
Askay, David Andrew. "Crowd control| Organizing the crowd at Yelp." Thesis, The University of North Carolina at Charlotte, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3594049.
Full textThis dissertation investigates how businesses are able to align the collective actions of a disconnected crowd with the strategic goals of the organization. I examined this questions within the context of the business review website Yelp through a quantitative analysis of nearly 60,000 business reviews, 17 in-depth qualitative interviews with reviewers, and a two-year ethnography. Interpreting the results of this data within the framework of the collective action space (Bimber, Flanagin, & Stohl, 2012) indicates that Yelp is able to manage the contributions of a relatively small subset of reviewers through the Yelp Elite Squad. Rather than simply motivating more reviews, the Elite Squad encouraged reviewers to interact more personally with other reviewers and accept increased institutional engagement with Yelp. In encouraging members of the crowd to produce online reviews within this context, Yelp was able to use organizational culture as a control strategy for encouraging Elite reviewers to adopt a pre-mediated reviewing approach to their reviews. This increased the frequency of moderate reviews and decreased the frequency of extreme reviews. This behavior ultimately furthers the organizational goals of Yelp, as moderate reviews are considered to be more helpful for reviews of businesses. Finally, implications for crowdsourcing, big data analysis, and theory are discussed.
Choi, Seri M. Eng Massachusetts Institute of Technology. "An empirical study identifying bias in Yelp dataset." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130685.
Full textCataloged from the official PDF of thesis.
Includes bibliographical references (pages 45-47).
Online review platforms have become an essential element of the business industry, providing users in-depth information on businesses and other users' experiences. The purpose of this study is to examine possible bias or discriminatory behaviors in users' rating habits in the Yelp dataset. The Surprise recommender system is utilized to produce expected ratings for the test set, training the model with 75% of the original dataset to learn the rating trends. Then, the ordinary least squares (OLS) linear regression is applied to identify which factors affected the percent change and which categories or locations show more bias than the others. This paper can provide insights into ways that bias can manifest within a dataset due to non-experimental factors such as social psychology; future research into this topic can therefore take these non-experimental factors, such as the discriminatory bias found in Yelp reviews, into consideration in order to reduce bias when utilizing machine learning algorithms.
by Seri Choi.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Dobson, Filippa Jane. "Barren (yeld ) : (traces of ain) landscape, postcolonialism and identity." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/20604/.
Full textMarttila, Juha M. "The Scandinavian settlement of Northern Shetland Northmavine, Yell, Unst, and Fetlar /." Thesis, Thesis restricted. Connect to e-thesis to view abstract. Move to record for print version, 2008. http://theses.gla.ac.uk/711/.
Full textPh.D. thesis submitted to the Faculty of Arts, Departments of Archaeology and History, University of Glasgow, 2008. Includes bibliographical references. Print version also available.
Chichifoi, Diana. "To Yell @ the Wind: The Everyday Making of Citizen Journalism on Twitter." Thesis, Stockholms universitet, Institutionen för mediestudier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-90978.
Full textBai, Jun. "A System Using Deep Learning and Fuzzy Logic to Detect Fake Yelp Reviews." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1557330566561144.
Full textWright, Mary Elisabeth. "Pragmatic Quotation Use in Online Yelp Reviews and its Connection to Author Sentiment." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6210.
Full textDwyer, Eleanor A. "Price, Perceived Value and Customer Satisfaction: A Text-Based Econometric Analysis of Yelp! Reviews." Scholarship @ Claremont, 2015. http://scholarship.claremont.edu/scripps_theses/715.
Full textBooks on the topic "Yelü"
Yelü Chucai. Shanghai: Shanghai ren min chu ban she, 1986.
Find full textYelü Chucai. Taibei Shi: Yuan liu chu ban shi ye you xian gong si, 1994.
Find full textNanjing da xue. Zhongguo si xiang jia yan jiu zhong xin., ed. Yelü Chucai ping zhuan. Nanjing Shi: Nanjing da xue chu ban she, 2001.
Find full textNanjing da xue. Zhongguo si xiang jia yan jiu zhong xin., ed. Yelü Chucai ping zhuan. Nanjing Shi: Nanjing da xue chu ban she, 2001.
Find full textChong, Guo, and Liu Fei, eds. Liao Taizu Yelü Abaoji chuan qi. Taiyuan: Shanxi ren min chu ban she, 2000.
Find full textLiao Taizu Abaoji de Yelü jia zu. Beijing Shi: Jin cheng chu ban she, 2012.
Find full textTan xun shi qu de wang chao: Liao Yelü Yuzhi mu. Huhehaote Shi: Nei Menggu da xue chu ban she, 2004.
Find full text1952-, Janhunen Juha, ed. New materials on the Khitan small script: A critical edition of Xiao Dilu & Yelü Xiangwen. Folkestone: Global Oriental, 2010.
Find full textErnenwein, Leslie. Rebel yell. Bath: Chivers, 1986.
Find full textErnenwein, Leslie. Rebel yell. Bath, Avon: Chivers Press, 1986.
Find full textBook chapters on the topic "Yelü"
Däumler, Marc, and Marcus M. Hotze. "Yelp." In Social Media für das erfolgreiche Krankenhaus, 161–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-45055-6_7.
Full textAlam, S. M. Shamsul. "Rebel Yell: The Field Marshal’s Story." In Rethinking Mau Mau in Colonial Kenya, 43–70. New York: Palgrave Macmillan US, 2007. http://dx.doi.org/10.1057/9780230606999_3.
Full textJayaprakasan, Parvathy, R. N. Uma, and A. Sankarasubramanian. "Characterizing and Predicting Yelp Users’ Behavior." In Studies in Big Data, 17–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60255-4_2.
Full textKhoche, Devdatta, Srajan Shetty, Akash Maurya, and M. Vijayalakshmi. "Comparative Study of Recommendation Algorithms on Yelp Dataset." In ICT Systems and Sustainability, 665–73. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5221-0_63.
Full textZhang, ChengYong, Zhengwei Li, Ru Nie, Lei Wang, and Huan Zhao. "Image Classification Based on Deep Belief Network and YELM." In Intelligent Computing Theories and Application, 150–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60799-9_13.
Full textSrinivasan, R. "Swiggy™, Foodora™, and Yelp™: Hyperlocal Platforms." In Platform Business Models, 83–101. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2838-2_6.
Full textJiang, Yichen, and Michael Porter. "Discovering Influence of Yelp Reviews Using Hawkes Point Processes." In Lecture Notes in Networks and Systems, 84–104. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82199-9_7.
Full textNikulin, Vladimir. "Hybrid Recommender System for Prediction of the Yelp Users Preferences." In Advances in Data Mining. Applications and Theoretical Aspects, 85–99. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08976-8_7.
Full textZhang, Jian, Jie Xia, Laijian Li, Binda Shen, Jinhuan Wang, and Qi Xuan. "Find Your Meal Pal: A Case Study on Yelp Network." In Graph Data Mining, 177–88. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2609-8_8.
Full textGupta, Saurabh, Sayan Pathak, and Bivas Mitra. "Complementary Usage of Tips and Reviews for Location Recommendation in Yelp." In Advances in Knowledge Discovery and Data Mining, 720–31. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18032-8_56.
Full textConference papers on the topic "Yelü"
Shrestha, Prakash, S. Abhishek Anand, and Nitesh Saxena. "YELP." In WiSec '17: 10th ACM Conference on Security & Privacy in Wireless and Mobile Networks. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3098243.3098259.
Full textFaisol, Hussein, Kevin Djajadinata, and Muljono Muljono. "Sentiment Analysis of Yelp Review." In 2020 International Seminar on Application for Technology of Information and Communication (iSemantic). IEEE, 2020. http://dx.doi.org/10.1109/isemantic50169.2020.9234213.
Full textLv, Lihua, and Min Zhou. "The Hysteric Yell from Women:." In 7th International Conference on Humanities and Social Science Research (ICHSSR 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210519.061.
Full textCervellini, Pierfrancesco, Angelo Garangau Menezes, and Vijay Kumar Mago. "Finding Trendsetters on Yelp Dataset." In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2016. http://dx.doi.org/10.1109/ssci.2016.7849866.
Full textAmato, Flora, Giovanni Cozzolino, Vincenzo Moscato, Antonio Picariello, and Giancarlo Sperlì. "Sentiment Analysis on yelp social network." In The 23rd International Conference on Distributed Multimedia Systems, Visual Languages and Sentient Systems. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2017. http://dx.doi.org/10.18293/dms2017-014.
Full textZhan, Felix, Yuria Mann, Nicholas Lower, and Haemin Choi. "Healthcare Yelp: Health Care Services Prediction." In 2020 10th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2020. http://dx.doi.org/10.1109/ccwc47524.2020.9031152.
Full textBallesteros, Jaime, Bogdan Carbunar, Mahmudur Rahman, and Naphtali Rishe. "Yelp Events: Making Bricks Without Clay?" In 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 2013. http://dx.doi.org/10.1109/icdcsw.2013.5.
Full textChen, Yifan, and Fanzeng Xia. "Restaurants’ Rating Prediction Using Yelp Dataset." In 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA). IEEE, 2020. http://dx.doi.org/10.1109/aeeca49918.2020.9213704.
Full textByers, John W., Michael Mitzenmacher, and Georgios Zervas. "The groupon effect on yelp ratings." In the 13th ACM Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2229012.2229034.
Full textWei, Xing, and Jiangjiang Liu. "Effects of Nonlinear Functions on Knowledge Graph Convolutional Networks for Recommender Systems with Yelp Knowledge Graph." In 11th International Conference on Computer Science and Information Technology (CCSIT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110715.
Full textReports on the topic "Yelü"
Glaeser, Edward, Michael Luca, and Erica Moszkowski. Gentrification and Neighborhood Change: Evidence from Yelp. Cambridge, MA: National Bureau of Economic Research, December 2020. http://dx.doi.org/10.3386/w28271.
Full textGlaeser, Edward, Hyunjin Kim, and Michael Luca. Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change. Cambridge, MA: National Bureau of Economic Research, August 2018. http://dx.doi.org/10.3386/w24952.
Full textGlaeser, Edward, Hyunjin Kim, and Michael Luca. Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity. Cambridge, MA: National Bureau of Economic Research, November 2017. http://dx.doi.org/10.3386/w24010.
Full text