An overview of recommender systems in the healthy food domain-Reference-Cited by-同舟云学术

An overview of recommender systems in the healthy food domain

Published:2017-06-22 Issue:3 Volume:50 Page:501-526
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Trang Tran Thi Ngoc^ORCID,Atas Müslüm,Felfernig Alexander,Stettinger Martin

Funder

Graz University of Technology

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/article/10.1007/s10844-017-0469-0/fulltext.html

Reference62 articles.

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2. Adomavicius, G., Bockstedt, J., Curley, S., & Zhang, J. (2011). Recommender systems, consumer preferences, and anchoring effects, 811, 35–42.

3. Aizawa, K., de Silva, G.C., Ogawa, M., & Sato, Y. (2010). Food log by snapping and processing images, 2010 16th international conference on virtual systems and multimedia, IEEE (pp. 71–74).

4. Ardissono, L., Goy, A., Petrone, G., Segnan, M., & Torasso, P. (2003). Intrigue: Personalized recommendation of tourist attractions for desktop and handset devices. Applied Artificial Intelligence, 17(8), 687–714.

5. Asanov, D. (2011). Algorithms and methods in recommender systems Berlin Institute of Technology. Germany: Berlin.

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