A tourism dataset from historical transaction for recommender systems.

ABSTRACT: The tourism industry has currently grown in various aspects, including the types of attractions, their quantity, and the number of tourist visits in various regions, contributing positively to both regional and global economies. Historical transactions are essential for developing recommender systems, utilizing techniques such as Collaborative Filtering and Demographic Filtering. TripAdvisor is a reputable website providing a wide range of accessible tourism information, including attractions, user profiles, and ratings. However, this unstructured raw data requires processing to create an adequate dataset for recommender systems. This study conducted a series of data processing steps on the raw data, including data restructuring, validation, content addition, integration with Google Maps,

SUBMITTER: Huda C 

PROVIDER: S-EPMC10788210 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature