Recommender Systems for Personalized User Experience: Lessons learned at Booking.com-Reference-Cited by-同舟云学术

Recommender Systems for Personalized User Experience: Lessons learned at Booking.com

Published:2021-09-13 Issue: Volume: Page:
ISSN:
Container-title:Fifteenth ACM Conference on Recommender Systems
language:
Short-container-title:

Author:

Kangas Ioannis¹,Schwoerer Maud¹,Bernardi Lucas J¹

Affiliation:

1. Booking.com, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460231.3474611

Reference14 articles.

1. Peter Auer Nicolò Cesa-Bianchi and Paul Fischer. 2002. Finite-time Analysis of the Multiarmed Bandit Problem. In Machine Learning 47. 235–256. https://doi.org/10.1023/A:1013689704352 Peter Auer Nicolò Cesa-Bianchi and Paul Fischer. 2002. Finite-time Analysis of the Multiarmed Bandit Problem. In Machine Learning 47. 235–256. https://doi.org/10.1023/A:1013689704352

2. Lucas Bernardi Pablo Estevez Matias Eidis and Eqbal Osama. 2020. Recommending Accommodation Filters with Online Learning. (2020). Lucas Bernardi Pablo Estevez Matias Eidis and Eqbal Osama. 2020. Recommending Accommodation Filters with Online Learning. (2020).

3. 150 Successful Machine Learning Models

4. Combinatorial bandits

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. User Experience of Recommender System: A User Study of Social-aware Fashion Recommendations System;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

2. Targeted marketing on social media: utilizing text analysis to create personalized landing pages;Social Network Analysis and Mining;2024-04-04

3. Changes in Recreational Tourism: A Thematic Analysis During the COVID-19 Pandemic and Its Aftermath;Studies in Systems, Decision and Control;2024

4. Fairness and Sustainability in Multistakeholder Tourism Recommender Systems;Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization;2023-06-18

5. Personalized Recommendation System for Online Learning: An Opportunity;2023 8th International Conference on Business and Industrial Research (ICBIR);2023-05-18