Intelligent food planning: personalized recipe recommendation

Jill Freyne; Shlomo Berkovsky

doi:10.1145/1719970.1720021

Intelligent food planning: personalized recipe recommendation

Jill Freyne, Shlomo Berkovsky

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

201 Citations (Scopus)

Abstract

As the obesity epidemic takes hold across the world many medical professionals are referring users to online systems aimed at educating and persuading users to alter their lifestyle. The challenge for many of these systems is to increase initial adoption and sustain participation for sufficient time to have real impact on the life of its users. In this work we present some preliminary investigation into the design of a recipe recommender, aimed at educating and sustaining user participation, which makes tailored recommendations of healthy recipes. We concentrate on the two initial dimensions of food recommendations: data capture and food-recipe relationships and present a study into the suitability of varying recommender algorithms for the recommendation of recipes.

Original language	English
Title of host publication	Proceedings of the 15th international conference on Intelligent user interfaces, IUI '10
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	321-324
Number of pages	4
ISBN (Electronic)	9781605585154
DOIs	https://doi.org/10.1145/1719970.1720021
Publication status	Published - 2010
Externally published	Yes
Event	15th International Conference on Intelligent User Interfaces, IUI 2010 - Hong Kong, China Duration: 7 Feb 2010 → 10 Feb 2010

Conference

Conference	15th International Conference on Intelligent User Interfaces, IUI 2010
Country/Territory	China
City	Hong Kong
Period	7/02/10 → 10/02/10

Keywords

Recommender systems
personalization
food
recipe
collaborative filtering

Access to Document

10.1145/1719970.1720021

Cite this

@inproceedings{c1ee3a3e4d8942839f4786a5d617d50c,

title = "Intelligent food planning: personalized recipe recommendation",

abstract = "As the obesity epidemic takes hold across the world many medical professionals are referring users to online systems aimed at educating and persuading users to alter their lifestyle. The challenge for many of these systems is to increase initial adoption and sustain participation for sufficient time to have real impact on the life of its users. In this work we present some preliminary investigation into the design of a recipe recommender, aimed at educating and sustaining user participation, which makes tailored recommendations of healthy recipes. We concentrate on the two initial dimensions of food recommendations: data capture and food-recipe relationships and present a study into the suitability of varying recommender algorithms for the recommendation of recipes.",

keywords = "Recommender systems, personalization, food, recipe, collaborative filtering",

author = "Jill Freyne and Shlomo Berkovsky",

year = "2010",

doi = "10.1145/1719970.1720021",

language = "English",

pages = "321--324",

booktitle = "Proceedings of the 15th international conference on Intelligent user interfaces, IUI '10",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "15th International Conference on Intelligent User Interfaces, IUI 2010 ; Conference date: 07-02-2010 Through 10-02-2010",

}

Freyne, J & Berkovsky, S 2010, Intelligent food planning: personalized recipe recommendation. in Proceedings of the 15th international conference on Intelligent user interfaces, IUI '10. Association for Computing Machinery (ACM), New York, pp. 321-324, 15th International Conference on Intelligent User Interfaces, IUI 2010, Hong Kong, China, 7/02/10. https://doi.org/10.1145/1719970.1720021

Intelligent food planning: personalized recipe recommendation. / Freyne, Jill; Berkovsky, Shlomo.
Proceedings of the 15th international conference on Intelligent user interfaces, IUI '10. New York: Association for Computing Machinery (ACM), 2010. p. 321-324.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Intelligent food planning

T2 - 15th International Conference on Intelligent User Interfaces, IUI 2010

AU - Freyne, Jill

AU - Berkovsky, Shlomo

PY - 2010

Y1 - 2010

N2 - As the obesity epidemic takes hold across the world many medical professionals are referring users to online systems aimed at educating and persuading users to alter their lifestyle. The challenge for many of these systems is to increase initial adoption and sustain participation for sufficient time to have real impact on the life of its users. In this work we present some preliminary investigation into the design of a recipe recommender, aimed at educating and sustaining user participation, which makes tailored recommendations of healthy recipes. We concentrate on the two initial dimensions of food recommendations: data capture and food-recipe relationships and present a study into the suitability of varying recommender algorithms for the recommendation of recipes.

AB - As the obesity epidemic takes hold across the world many medical professionals are referring users to online systems aimed at educating and persuading users to alter their lifestyle. The challenge for many of these systems is to increase initial adoption and sustain participation for sufficient time to have real impact on the life of its users. In this work we present some preliminary investigation into the design of a recipe recommender, aimed at educating and sustaining user participation, which makes tailored recommendations of healthy recipes. We concentrate on the two initial dimensions of food recommendations: data capture and food-recipe relationships and present a study into the suitability of varying recommender algorithms for the recommendation of recipes.

KW - Recommender systems

KW - personalization

KW - food

KW - recipe

KW - collaborative filtering

U2 - 10.1145/1719970.1720021

DO - 10.1145/1719970.1720021

M3 - Conference proceeding contribution

SP - 321

EP - 324

BT - Proceedings of the 15th international conference on Intelligent user interfaces, IUI '10

PB - Association for Computing Machinery (ACM)

CY - New York

Y2 - 7 February 2010 through 10 February 2010

ER -

Intelligent food planning: personalized recipe recommendation

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this