Source:

Creators:
Rafael Ponce Medellín and Juan Gabriel González Serna
rafaponce '@' cenidet.edu.mx, gabriel '@' cenidet.edu.mx
Department of Computer Science.
National Center for Research and Technological Development CENIDET, México
Donors of database:
Blanca Vargas-Govea and Juan Gabriel González Serna
blanca.vargas '@' cenidet.edu.mx/blanca.vg@gmail.com, gabriel '@' cenidet.edu.mx
Department of Computer Science.
National Center for Research and Technological Development CENIDET, México

Data Set Information:

Two approaches were tested: a collaborative filter technique and a contextual approach.
(i) The collaborative filter technique used only one file i.e., rating_final.csv that comprises the user, item and rating attributes.
(ii) The contextual approach generated the recommendations using the remaining eight data files.

Attribute Information:

Files, instances and attributes
Number of Files: 9

Restaurants
1 chefmozaccepts.csv
2 chefmozcuisine.csv
3 chefmozhours4.csv
4 chefmozparking.csv
5 geoplaces2.csv

Consumers
6 usercuisine.csv
7 userpayment.csv
8 userprofile.csv

User-Item-Rating
9 rating_final.csv

%--- Description format
File name
Number of instances
Number of attributes
attribute: Type, Number of missing values (if any), Number of values [list of values]
%---

1 chefmozaccepts.csv
Instances: 1314
Attributes: 2
placeID: Nominal
Rpayment: Nominal, 12 [cash,VISA,MasterCard-Eurocard,American_Express,bank_debit_cards,checks,Discover,Carte_Blanche,Diners_Club,Visa,Japan_Credit_Bureau,gift_certificates]

2 chefmozcuisine.csv
Instances: 916
Attributes: 2
placeID: Nominal
Rcuisine: Nominal, 59 [Afghan,African,American,Armenian,Asian,Bagels,Bakery,Bar,Bar_Pub_Brewery,Barbecue,Brazilian,Breakfast-Brunch,Burgers,Cafe-Coffee_Shop, Cafeteria,California,Caribbean,Chinese,Contemporary,Continental-European,Deli-Sandwiches,Dessert-Ice_Cream,Diner,Dutch-Belgian,Eastern_European,Ethiopian,Family,Fast_Food,Fine_Dining,French,,Game,German,Greek,Hot_Dogs, International,Italian,Japanese,Juice,Korean,Latin_American,Mediterranean,Mexican,Mongolian,Organic-Healthy,Persian, Pizzeria,Polish,Regional,Seafood,Soup,Southern,Southwestern,Spanish,Steaks,Sushi,Thai,Turkish,Vegetarian,Vietnamese]

3 chefmozhours4.csv
Instances: 2339
Attributes: 3
placeID: Nominal
hours: Nominal, Range:00:00-23:30
days:Nominal, 7 [Mon;Tue;Wed;Thu;Fri;Sat;Sun]

4 chefmozparking.csv
Instances: 702
Attributes: 2
placeID: Nominal
parking_lot:Nominal, 7[public,none,yes,valet_parking,free,street,validated_parking]

5 geoplaces2.csv
Instances: 130
Attributes: 21
placeID: Nominal
latitude: Numeric
longitude: Numeric
the_geom_meter: Nominal (Geospatial)
name: Nominal
address: Nominal,Missing: 27
city: Nominal, Missing: 18
state: Nominal, Missing: 18
country: Nominal, Missing: 28
fax: Numeric, Missing: 130
zip: Nominal,Missing: 74
alcohol: Nominal, Values: 3 [No_Alcohol_Served,Wine_Beer,Full_Bar]
smoking_area: Nominal, 5 [none,only_at_bar,permitted,section,not_permitted]
dress_code: Nominal, 3 [informal,casual,formal]
accessibility: Nominal, 3 [no_accessibility,completely,partially]
price: Nominal, 3 [medium,low,high]
url: Nominal, Missing: 116
Rambience: Nominal, 2 [familiar,quiet]
franchise: Nominal, 2 [t,f]
area: Nominal, 2 [open,closed]
other_services: Nominal, 3 [none,internet,variety]

6 rating_final.csv
Instances: 1161
Attributes: 5
userID: Nominal
placeID: Nominal
rating: Numeric, 3 [0,1,2]
food_rating: Numeric, 3 [0,1,2]
service_rating: Numeric, 3 [0,1,2]

7 usercuisine.csv
Instances: 330
Attributes: 2
userID: Nominal
Rcuisine: Nominal, 103 [Afghan,African,American,Armenian,Asian,Australian,Austrian,Bagels,Bakery,Bar,Bar_Pub_Brewery,Barbecue,Basque,Brazilian,Breakfast-Brunch,British,Burgers,Burmese,Cafe-Coffee_Shop,Cafeteria,Cajun-Creole,California,Cambodian,Canadian,Caribbean,Chilean,Chinese,Contemporary,Continental-European,Cuban,Deli-Sandwiches,Dessert-Ice_Cream,Dim_Sum,Diner,Doughnuts,Dutch-Belgian,Eastern_European,Eclectic,Ethiopian,Family,Fast_Food,Filipino,Fine_Dining,French,Fusion,Game,German,Greek,Hawaiian,Hot_Dogs,Hungarian,Indian-Pakistani,Indigenous,Indonesian,International,Irish,Israeli,Italian,Jamaican,Japanese,Juice,Korean,Kosher,Latin_American,Lebanese,Malaysian,Mediterranean,Mexican,Middle_Eastern,Mongolian,Moroccan,North_African,Organic-Healthy,Pacific_Northwest,Pacific_Rim,Persian,Peruvian,Pizzeria,Polish,Polynesian,Portuguese,Regional,Romanian,Russian-Ukrainian,Scandinavian,Seafood,Soup,Southeast_Asian,Southern,Southwestern,Spanish,Steaks,Sushi,Swiss,Tapas,Tea_House,Tex-Mex,Thai,Tibetan,Tunisian,Turkish,Vegetarian,Vietnamese]

8 userpayment.csv
Instances: 177
Attributes: 2
userID: Nominal
Upayment: Nominal, 5 [cash,bank_debit_cards,MasterCard-Eurocard,VISA,American_Express]

9 userprofile
Instances: 138
Attributes: 19
userID: Nominal
latitude: Numeric
longitude: Numeric
the_geom_meter: Nominal (Geospatial)
smoker: Nominal, Missing: 3, 2 [false,true]
drink_level: Nominal, 3 [abstemious,social drinker,casual drinker]
dress_preference:Nominal, Missing: 5, 4 [informal,formal,no preference,elegant]
ambience: Nominal, Missing: 6, 3 [family,friends,solitary]
transport: Nominal, Missing: 7, 3 [on foot,public,car owner]
marital_status: Nominal, Missing: 4, 3 [single,married,widow]
hijos: Nominal, Missing: 11, 3 [independent,kids,dependent]
birth_year: Nominal
interest: Nominal, 5 [variety,technology,none,retro,eco-friendly]
personality: Nominal, 4 [thrifty-protector,hunter-ostentatious,hard-worker,conformist]
religion: Nominal, 5 [none,Catholic,Christian,Mormon,Jewish]
activity: Nominal, Missing: 7, 4 [student,professional,unemployed,working-class]
color: Nominal, 8 [black,red,blue,green,purple,orange,yellow,white]
weight: Numeric
budget: Nominal, Missing: 7, 3 [medium,low,high]
height: Numeric

Relevant Papers:

Blanca Vargas-Govea, Juan Gabriel González-Serna, Rafael Ponce-Medellín. Effects of relevant contextual features in the performance of a restaurant recommender system. In RecSys’11: Workshop on Context Aware Recommender Systems (CARS-2011), Chicago, IL, USA, October 23, 2011.

Citation Request:

Blanca Vargas-Govea, Juan Gabriel González-Serna, Rafael Ponce-Medellín. Effects of relevant contextual features in the performance of a restaurant recommender system. In RecSys’11: Workshop on Context Aware Recommender Systems (CARS-2011), Chicago, IL, USA, October 23, 2011.

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