TY - GEN
T1 - Intelligent menu planning
T2 - ACM Multimedia 2012 4th Workshop on Multimedia for Cooking and Eating Activities, CEA 2012
AU - Kuo, Fang Fei
AU - Li, Cheng Te
AU - Shan, Man Kwan
AU - Lee, Suh Yin
PY - 2012/12/10
Y1 - 2012/12/10
N2 - With the growth of recipe sharing services, online cooking recipes associated with ingredients and cooking procedures are available. Many recipe sharing sites have devoted to the development of recipe recommendation mechanism. However, there is a need for users to plan menu of meals by ingredients. While most research on food related research has been on recipe recommendation and retrieval, little research has been done on menu planning. In this paper, we investigate an intelligent menu planning mechanism which recommending sets of recipes by user-specified ingredients. Those recipes which are well-accompanied and contain the query ingredients are returned. We propose a graph-based algorithm for menu planning. The proposed approach constructs a recipe graph to capture the co-occurrence relationships between recipes from collection of menus. A menu is generated by approximate Steiner Tree Algorithm on the constructed recipe graph. Evaluation of menu collections from Food.com shows that the proposed approach achieves encouraging results.
AB - With the growth of recipe sharing services, online cooking recipes associated with ingredients and cooking procedures are available. Many recipe sharing sites have devoted to the development of recipe recommendation mechanism. However, there is a need for users to plan menu of meals by ingredients. While most research on food related research has been on recipe recommendation and retrieval, little research has been done on menu planning. In this paper, we investigate an intelligent menu planning mechanism which recommending sets of recipes by user-specified ingredients. Those recipes which are well-accompanied and contain the query ingredients are returned. We propose a graph-based algorithm for menu planning. The proposed approach constructs a recipe graph to capture the co-occurrence relationships between recipes from collection of menus. A menu is generated by approximate Steiner Tree Algorithm on the constructed recipe graph. Evaluation of menu collections from Food.com shows that the proposed approach achieves encouraging results.
UR - http://www.scopus.com/inward/record.url?scp=84870554558&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870554558&partnerID=8YFLogxK
U2 - 10.1145/2390776.2390778
DO - 10.1145/2390776.2390778
M3 - Conference contribution
AN - SCOPUS:84870554558
SN - 9781450315920
T3 - CEA 2012 - Proceedings of the 2012 ACM Workshop on Multimedia for Cooking and Eating Activities, Co-located with ACM Multimedia 2012
SP - 1
EP - 6
BT - CEA 2012 - Proceedings of the 2012 ACM Workshop on Multimedia for Cooking and Eating Activities, Co-located with ACM Multimedia 2012
Y2 - 2 November 2012 through 2 November 2012
ER -