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DeepPredict: A Zone Preference Prediction System for Online Lodging Platforms
2021
Journal of Social Computing
Online lodging platforms have become more and more popular around the world. To make a booking in these platforms, a user usually needs to select a city first, then browses among all the prospective options. To improve the user experience, understanding the zone preferences of a user's booking behavior will be helpful. In this work, we aim to predict the zone preferences of users when booking accommodations for the next travel. We have two main challenges: (1) The previous works about next
doi:10.23919/jsc.2021.0004
fatcat:wvaq522hljaxtcij752lj3xcza