Shuhei Goda

This paper describes the 6th place approach to Booking.com WSDM WebTour 2021 Challenge, which is a challenge with a task of predicting travellers’ next destination. We, in the team "hakubishin3 & u++ & yu-y4", trained four types of Long short-term memory (LSTM) models, and achieved the final score: 0.5399 by weighted averaging of these predictions. There are some differences in these models in feature engineering, multi-task learning, and data augmentation. Our experiments showed that the diversity of the models boosted the final result. Our codes are available at https://github. com/hakubishin3/booking-challenge-2021 and https://github.com/ upura/booking-challenge-2021.