An ontology-driven context-aware recommender system for indoor shopping based on cellular automata-Reference-Cited by-同舟云学术

An ontology-driven context-aware recommender system for indoor shopping based on cellular automata

Published:2016-09-23 Issue:6 Volume:8 Page:937-955
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Orciuoli Francesco^ORCID,Parente Mimmo

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/article/10.1007/s12652-016-0411-2/fulltext.html

Reference48 articles.

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

2. Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805

3. Bandini S (2002) Cellular automata. Future Gener Comp Syst. doi: 10.1016/S0167-739X(02)00067-5

4. Bellavista P, Kupper A, Helal S (2008) Location-based services: back to the future. Pervasive Comput IEEE 7(2):85–89

5. Bellavista P, Corradi A, Fanelli M, Foschini L (2012) A survey of context data distribution for mobile ubiquitous systems. ACM Comput Surv CSUR 44(4):24

Cited by 28 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. Tailoring Marketing Strategies for Food Products Within the Dynamics of Context and Location-Aware Pervasive Systems;Lecture Notes in Computer Science;2024

2. Evaluation of Convolutional Neural Network Model and Various Machine Learning Models for Decision-Making in the Health Care Industry;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

3. Challenges for Anonymous Session-Based Recommender Systems in Indoor Environments;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

4. An Intelligent Long-Term Care Information Platform using Machine Learning and Semantic Web;2023-06-02

5. FoodRecNet: a comprehensively personalized food recommender system using deep neural networks;Knowledge and Information Systems;2023-05-07