A-HA: A hybrid approach for hotel recommendation

Huang Kung-Hsiang, Lee Tzong-Hann, Fu Yi-Fu, Chan Yao-Chun, Lin Shou-De, Lee Yi-Ting, Lee Yi-Hui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Session-based recommender system refers to a specific type of recommender system that focuses more on the transactional structure of each session rather than the user and item interactions [16]. It is stated that the users' interactions are mostly homogeneous in the same sessions, while being heterogeneous across different sessions [5]. Therefore, it is essential to extract the interest dynamics of users within each session. The 2019 ACM Recsys Challenge [10] aims to apply session-based recommender systems to the domain of travel metasearch. The goal is to predict which hotels are clicked in the search results based on the context of each session. In this paper, we propose our approach to effectively tackle the challenge. It involves an ensemble of three models, LightGBM, XGBoost, and a Neural Network based on DeepFM [6] that is capable of handling sequential features. Our team, RosettaAI, won the 4th place in this challenge, scoring 0.679933 on the final leaderboard. The source code is available online 1

Original languageEnglish
Title of host publicationProceedings of the Workshop on ACM RecSys Challenge, RecSys Challenge 2019
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450376679
DOIs
Publication statusPublished - Sep 20 2019
Externally publishedYes
Event2019 ACM Recommender Systems Challenge Workshop, RecSys Challenge 2019, held at the 13th ACM Conference on Recommender Systems, ACM RecSys 2019 - Copenhagen, Denmark
Duration: Sep 20 2019 → …

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2019 ACM Recommender Systems Challenge Workshop, RecSys Challenge 2019, held at the 13th ACM Conference on Recommender Systems, ACM RecSys 2019
CountryDenmark
CityCopenhagen
Period9/20/19 → …

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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