An incremental learning and integer-nonlinear programming approach to mining users’ unknown preferences for ubiquitous hotel recommendation-Reference-Cited by-同舟云学术

An incremental learning and integer-nonlinear programming approach to mining users’ unknown preferences for ubiquitous hotel recommendation

Published:2018-09-12 Issue:7 Volume:10 Page:2771-2780
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Chen Tin-Chih Toly,Wang Yi-Chi^ORCID

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-018-0986-x.pdf

Reference20 articles.

1. Adomavicius G, Tuzhilin A (2011) Context-aware recommender systems. Recommender systems handbook. Springer, Amsterdam, pp 217–253

2. Arruza M, Pericich J, Straka M (2016) The automated travel agent: hotel recommendations using machine learning. http://cs229.stanford.edu/proj2016spr/report/017.pdf

3. Campbell DL (2016) Measurement matters: productivity-adjusted weighted average relative price indices. J Int Money Finance 61:45–81

4. Chen T (2017) Ubiquitous clinic recommendation by predicting a patient’s preferences. Electron Commerce Res Appl 23:14–23

5. Chen T, Chuang YH (2018) Fuzzy and nonlinear programming approach for optimizing the performance of ubiquitous hotel recommendation. J Ambient Intell Human Comput 9(2):275–284

Cited by 7 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. XAmI Applications to Location-Aware Services;SpringerBriefs in Applied Sciences and Technology;2024

2. Ambient Intelligence (AmI);SpringerBriefs in Applied Sciences and Technology;2024

3. Smart and Healthy Walking in Smart Cities;SpringerBriefs in Applied Sciences and Technology;2024

4. Smart Technologies for Healthcare in Smart Cities;SpringerBriefs in Applied Sciences and Technology;2024

5. A fuzzy analytic hierarchy process-enhanced fuzzy geometric mean-fuzzy technique for order preference by similarity to ideal solution approach for suitable hotel recommendation amid the COVID-19 pandemic;DIGITAL HEALTH;2022-01