This paper studies the interest modeling task for reranking hotels, and identifies two key challenges—high behavior sparsity and large interest gap. To address ...

In this paper, we propose a novel model, named Deep Interest Evolution Network~(DIEN), for CTR prediction. Specifically, we design interest extractor layer to ...

Apr 17, 2023 · We study interest modeling for reranking hotels and identify two key challenges. · Deep click concept is formally defined to model the multi-view ...

Our findings indicate that the hotel recommendation system we propose can significantly enhance the user experience of booking accommodations by providing ...

Deep click interest network for reranking hotels · Author Picture Denghao Ma. Beijing Key Laboratory of Internet Culture and Digital Dissemination Research ...

Jun 3, 2024 · Genliang Yi, Haoxing Wen: Deep click interest network for reranking hotels. Eng. Appl. Artif. Intell. 130: 107675 (2024). [+][–]. 2010 – 2019.

International Conference on Database Systems for Advanced Applications, 331-339, 2022. 2, 2022. Deep click interest network for reranking hotels. D Ma, H Pei, P ...

Jan 21, 2019 · The purpose of this study is to construct a hotel recommendation system based on user's location using online hotel reviews.

In this paper, we present a framework that can rank hotels by analyzing hotels' customer reviews and nearby amenities. In addition, a framework is presented ...

The click curve proves that users are highly biased towards clicking on higher ranked hotels ... Deep interest network for click-through rate prediction. In ...