Deep click interest network for reranking hotels

Published: 01 Jan 2024, Last Modified: 18 Nov 2024Eng. Appl. Artif. Intell. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We study interest modeling for reranking hotels and identify two key challenges.•Deep click concept is formally defined to model the multi-view semantics of a click.•Mutual attention calibration unit is designed to calibrate the embedding of a click.•Multi-attention aggregation unit is developed to estimate the weights of clicks from multiple perspectives.•Both offline and online experiments show our model outperforms the SOTA baselines.
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