来自谷歌中欧洲24个类别的景点进行评论数据集

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.