Shini Renjith, shinirenjith '@' gmail.com

Data Set Information:

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.

Attribute Information:

Attribute 1 : Unique user id
Attribute 2 : Average ratings on churches
Attribute 3 : Average ratings on resorts
Attribute 4 : Average ratings on beaches
Attribute 5 : Average ratings on parks
Attribute 6 : Average ratings on theatres
Attribute 7 : Average ratings on museums
Attribute 8 : Average ratings on malls
Attribute 9 : Average ratings on zoo
Attribute 10 : Average ratings on restaurants
Attribute 11 : Average ratings on pubs/bars
Attribute 12 : Average ratings on local services
Attribute 13 : Average ratings on burger/pizza shops
Attribute 14 : Average ratings on hotels/other lodgings
Attribute 15 : Average ratings on juice bars
Attribute 16 : Average ratings on art galleries
Attribute 17 : Average ratings on dance clubs
Attribute 18 : Average ratings on swimming pools
Attribute 19 : Average ratings on gyms
Attribute 20 : Average ratings on bakeries
Attribute 21 : Average ratings on beauty & spas
Attribute 22 : Average ratings on cafes
Attribute 23 : Average ratings on view points
Attribute 24 : Average ratings on monuments
Attribute 25 : Average ratings on gardens

Relevant Papers:

Renjith, Shini, A. Sreekumar, and M. Jathavedan. 2018. a€?evaluation of Partitioning Clustering Algorithms for Processing Social Media Data in Tourism Domaina€?. In 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 127a€“31. IEEE.

Citation Request:

Renjith, Shini, A. Sreekumar, and M. Jathavedan. 2018. a€?evaluation of Partitioning Clustering Algorithms for Processing Social Media Data in Tourism Domaina€?. In 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 127a€“31. IEEE.