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Point-of-interest lists and their potential in recommendation systems
2021
Information Technology & Tourism
Location based social networks, such as Foursquare and Yelp, have inspired the development of novel recommendation systems due to the massive volume and multiple types of data that their users generate on a daily basis. More recently, research studies have been focusing on utilizing structural data from these networks that relate the various entities, typically users and locations. In this work, we investigate the information contained in unique structural data of social networks, namely the
doi:10.1007/s40558-021-00195-5
fatcat:z26fhtad7fhvvgok7hpu7umage