This data set is populated by capturing user ratings from Google reviews. Reviews on attractions from 24 categories across Europe are considered. Google user rating ranges from 1 to 5 and average user rating per category is calculated.
travel_review_ratings
A data frame with 5456 observations on the following 25 variables.
user id
churches
resorts
beaches
parks
theatres
museums
malls
zoo
restaurants
pubs/bars
local services
burger/pizza shops
hotels/other lodgings
juice bars
art galleries
dance clubs
swimming pools
gyms
bakeries
beauty & spas
cafes
view points
monuments
gardens
Shini Renjith, shinirenjith '@' gmail.com
Google reviews on attractions from 24 categories across Europe are considered. Google user rating ranges from 1 to 5 and average user rating per category is calculated.
Renjith, Shini, A. Sreekumar, and M. Jathavedan. 2018. Evaluation of Partitioning Clustering Algorithms for Processing Social Media Data in Tourism Domaina.
https://archive.ics.uci.edu/ml/machine-learning-databases/00485/
https://archive.ics.uci.edu/ml/datasets/Tarvel+Review+Ratings