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Using Yelp to Find Romance in the City: A Case of Restaurants in Four Cities

Authors:

Xi LiuAuthors Info & Claims

UrbanGIS'17: Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics

Article No.: 3, Pages 1 - 8

https://doi.org/10.1145/3152178.3152181

Published: 07 November 2017 Publication History

Abstract

Romantic relationships are an understudied aspect of cities and the built environment. Yet, restaurants continue to attract couples and augment the landscape with visible signs of affection at a table for two---or more. User-generated content (UGC) of restaurant reviews from online review site Yelp (http://yelp.com) provide text on romantic keywords such as "date", "love", "boyfriend", "wife", "anniversary", "family" by geolocated restaurants. We use these to distinguish restaurants and discover features of restaurants associated with various romantic keywords. These features include restaurant ratings and location, as well as comments about the ambiance, food, service, etc.

Using data from the Yelp Dataset Challenge in U.S. cities Charlotte, NC, Las Vegas, NM, Phoenix, AZ, and Pittsburgh, PA, we employ different data mining and correlation tools as well as GIS modeling to learn more about what types of romantic relationships use which parts of the city, and how their choices of restaurants differ by relationship stage. We find that families prefer restaurants that are outside of the central business district (CBD), have good service and high-rated food, while couples---married or dating---prefer hot spots with great ambiance for nightlife. We also find that inexpensive food is not associated with romantic dates, and the quality of service also plays a secondary role to a "classy" and "cozy" atmosphere.

References

[1]

E. Schlosser, Fast food nation: The dark side of the all-American meal. Houghton Mifflin Harcourt, 2012.

[2]

P. Wardono, H. Hibino, and S. Koyama, "Effects of restaurant interior elements on social dining behavior," Asian J. Environ. Stud., vol. 2, no. 4, pp. 43--53, 2017.

[3]

R. Oldenburg, The great good place: Cafes, coffee shops, bookstores, bars, hair salons, and other hangouts at the heart of a community. Da Capo Press, 1999.

[4]

S. Zukin, "Urban Lifestyles: Diversity and Standardisation in Spaces of Consumption," Urban Stud., vol. 35, no. 5-6, pp. 825--839, 1998.

[5]

M. Macht, J. Meininger, and J. Roth, "The pleasures of eating: A qualitative analysis," J. Happiness Stud., vol. 6, no. 2, pp. 137--160, 2005.

[6]

D. Belman, "Major-league menus," Restaur. USA Mag. Sept., 1996.

[7]

C. Ursin, "The art of service.," Restaur. USA Mag., vol. 16, no. 10, 1996.

[8]

J. Teboul, Managing quality dynamics. Prentice Hall Direct, 1991.

[9]

R. Klara, "Please please me," Restaur. Bus., vol. 100, no. 4, p. 22, 2001.

[10]

B. J. Pine and J. H. Gilmore, The experience economy: work is theatre & every business a stage. Harvard Business Press, 1999.

[11]

S. Rahimi, X. Liu, and C. Andris, "Hidden style in the city: An analysis of Geolocated Airbnb rental images in Ten Major Cities," in Proceedings of the 2nd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, UrbanGIS 2016, 2016.

Digital Library

[12]

S. Fadaei, S. Rahimi, J. Yoshida, and L. Domenica Iulo, "The Effects of Orientation and Elongation on the Price of the Homes in Central Pennsylvania," Proc. 16th ICCCBE, 2016.

[13]

J. Dulen, "Dazzling by design," Restaur. Institutions, vol. 108, no. 20, pp. 40--49, 1998.

[14]

W. C. Kim and R. Mauborgne, "Knowing a winning business idea when you see one.," Harv. Bus. Rev., vol. 78, no. 5, pp. 129--138, 200, 2000.

[15]

S. Camp, "Café and restaurant acoustic index.," New Zeal. Acoust. 17, vol. 17, no. 1, pp. 34--35, 2004.

[16]

L. H. Christie, "Psycho-to-building acoustics: are bars, cafes, and restaurants acceptable acoustic environments?," Unpubl. Indep. Res. Victoria Univ. Wellingt., 2004.

[17]

J. Rindel, "Acoustical comfort as a design criterion for dwellings in the future," in 16th Biennial Conference of the New Zealand Acoustical Society;"Sound in the Built Environment, 2002, pp. 1--9.

[18]

Yelp, "Yelp Dataset Challenge." {Online}. Available: https://www.yelp.com/dataset_challenge. {Accessed: 26-Apr-2017}.

[19]

S. Olejnik, J. Mills, and H. Keselman, "Using Wherry's adjusted R 2 and Mallow's Cp for model selection from all possible regressions," J. Exp. Educ., vol. 68, no. 4, pp. 365--380, 2000.

[20]

H. Zou and T. Hastie, "Regularization and variable selection via the elastic net," J. R. Stat. Soc. Ser. B (Statistical Methodol., vol. 67, no. 2, pp. 301--320, 2005.

[21]

R. Tibshirani, "Regression shrinkage and selection via the lasso," J. R. Stat. Soc., pp. 267--288, 1996.

[22]

S. H. Park, "Collinearity and optimal restrictions on regression parameters for estimating responses," Technometrics, vol. 23, no. 3, pp. 289--295, 1981.

[23]

L. Breiman, J. Friedman, C. J. Stone, and R. A. Olshen, Classification and regression trees. CRC Press, 1984.

[24]

A. Liaw and M. Wiener, "Classification and Regression by randomForest.," R news, vol. 2, no. 3, pp. 18--22, 2002.

[25]

B. S. Everitt and D. C. Howell, Encyclopedia of statistics in behavioral science. John Wiley & Sons Ltd, 2005.

[26]

K. Chang, Introduction to geographic information systems. McGraw-Hill Higher Education Boston, 2006.

[27]

S. Rahimi, "Social Interaction in Student Residence Halls: an Architectural Perspective", 2015.

[28]

S. Rahimi, M. Martin, E. Obeysekere, D. Hellmann, X. Liu, and C. Andris, "A Geographic Information System (GIS)-Based Analysis of Social Capital Data: Landscape Factors That Correlate with Trust," Sustainability, vol. 9, no. 3, p. 365, Mar. 2017.

Cited By

Silva TSilver D(2024)Using graph neural networks to predict local cultureEnvironment and Planning B: Urban Analytics and City Science10.1177/2399808324126205352:2(355-376)Online publication date: 14-Jun-2024
https://doi.org/10.1177/23998083241262053
Papoutsoglou MMarkakis KChatzivasili LKapitsaki GMagoutis KKatelaris LBekiari C(2022)A Framework to Enhance Smart Citizen Science in Coastal AreasCompanion Proceedings of the Web Conference 202210.1145/3487553.3524852(1260-1265)Online publication date: 25-Apr-2022
https://dl.acm.org/doi/10.1145/3487553.3524852
Andris CLee S(2021)Romantic relationships and the built environment: a case study of a U.S. college townJournal of Urbanism: International Research on Placemaking and Urban Sustainability10.1080/17549175.2021.200511717:1(47-68)Online publication date: 6-Dec-2021
https://doi.org/10.1080/17549175.2021.2005117
Show More Cited By

Index Terms

Using Yelp to Find Romance in the City: A Case of Restaurants in Four Cities
1. Applied computing
  1. Arts and humanities
    1. Architecture (buildings)
2. Social and professional topics
  1. User characteristics
    1. Cultural characteristics
    2. Geographic characteristics

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cover image ACM Conferences

UrbanGIS'17: Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics

November 2017

118 pages

ISBN:9781450354950

DOI:10.1145/3152178

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 November 2017

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SIGSPATIAL'17

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SIGSPATIAL

SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 7 - 10, 2017

CA, Redondo Beach, USA

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Cited By

Silva TSilver D(2024)Using graph neural networks to predict local cultureEnvironment and Planning B: Urban Analytics and City Science10.1177/2399808324126205352:2(355-376)Online publication date: 14-Jun-2024
https://doi.org/10.1177/23998083241262053
Papoutsoglou MMarkakis KChatzivasili LKapitsaki GMagoutis KKatelaris LBekiari C(2022)A Framework to Enhance Smart Citizen Science in Coastal AreasCompanion Proceedings of the Web Conference 202210.1145/3487553.3524852(1260-1265)Online publication date: 25-Apr-2022
https://dl.acm.org/doi/10.1145/3487553.3524852
Andris CLee S(2021)Romantic relationships and the built environment: a case study of a U.S. college townJournal of Urbanism: International Research on Placemaking and Urban Sustainability10.1080/17549175.2021.200511717:1(47-68)Online publication date: 6-Dec-2021
https://doi.org/10.1080/17549175.2021.2005117
Jiang YPorter M(2021)Discovering Influence of Yelp Reviews Using Hawkes Point ProcessesIntelligent Systems and Applications10.1007/978-3-030-82199-9_7(84-104)Online publication date: 7-Aug-2021
https://doi.org/10.1007/978-3-030-82199-9_7
Rahimi SMottahedi SLiu X(2018)The Geography of Taste: Using Yelp to Study Urban CultureISPRS International Journal of Geo-Information10.3390/ijgi70903767:9(376)Online publication date: 13-Sep-2018
https://doi.org/10.3390/ijgi7090376

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