“…Each user transaction is listed in separate rows, with every column displaying encoded values. Research in recommender systems utilizing this dataset can be executed using various machine learning techniques such as Collaborative Filtering [ 1 , [7] , [8] , [9] ], Content-Based Filtering [10] , Demographic Filtering [1] , Centex-Aware [ 2 , 11 ], and Hybrid Technique [ 1 , 5 ] for smart tourism solution [12] .…”