Deep click interest network for reranking hotels

Denghao Ma, Hongbin Pei, Peng Bao, Xueqiang Lv, Liang Shen, Genliang Yi, Haoxing Wen

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.