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- W4306316928 abstract "In this paper, we propose a novel elastic demand function that captures the price elasticity of demand in hotel occupancy prediction. We develop a price elasticity prediction model (PEM) with a competitive representation module and a multi-sequence fusion model to learn the dynamic price elasticity from a complex set of affecting factors. Moreover, a multi-task framework consisting of room- and hotel-level occupancy prediction tasks is introduced to PEM to alleviate the data sparsity issue. Extensive experiments on real-world datasets show that PEM outperforms other state-of-the-art methods for both occupancy prediction and dynamic pricing. PEM model has been successfully deployed at Fliggy and shown good performance in online hotel booking services." @default.
- W4306316928 created "2022-10-16" @default.
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- W4306316928 date "2022-10-17" @default.
- W4306316928 modified "2023-10-16" @default.
- W4306316928 title "Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing" @default.
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- W4306316928 doi "https://doi.org/10.1145/3511808.3557646" @default.
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