Description Usage Format Details Source References
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.
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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
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.
Shini Renjith, shinirenjith '@' gmail.com
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
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