A recommendation solution for multi person dinner location
Pages 38 - 43
Abstract
Restaurant recommended software has been a lot, but for many people have not yet dinner, more than dinner to consider not only everyone's preferences, but also need to consider the location of dining personnel and other information. This article will introduce a solution to the multi-person dining recommendation. First of all, through the association rules mining relationship between the cuisines. Next, based on the influence of the time on the user's selection, the possible dining information is supplemented based on the result of the association rule. And then through the statistical order to be recommended for dining cuisine type. The next step is to determine the restaurant's range using the location information of the diner and the restaurant density data. The season is then used to exclude seasonally unsuitable restaurants. Finally, restaurant recommendations are based on restaurant ratings, restaurant per capita consumption, cuisine and location.
References
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CHENG Ping-guang. 2008. Application of an improved association rule mining algorithm in a self-selected restaurant. Market Modernization, 2008, (35): 19--20.
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Neumark-Sztainer, D., MacLehose, R., and Loth, K. et al. 2014. What's for dinner? Types of food served at family dinner differ across parent and family characteristics. Public Health Nutrition, 2014,17(1):145--155.
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LI Jie, XU Yong, and WANG Yun-feng et al. 2009. Mining strong association rules for personalized recommendation. Systems Engineering -Theory & Practice, 2009,29 (8): 144--152.
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Martin, D., Rosete, A., and Alcala-Fdez, J. et al. 2014. A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules.IEEE transactions on evolutionary computation: A publication of the IEEE Neural Networks Council,2014,18(1):54--69.
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- Wuhan Univ.: Wuhan University, China
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 14 January 2017
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- Refereed limited
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ICMSS '17
ICMSS '17: 2017 International Conference on Management Engineering, Software Engineering and Service Sciences
January 14 - 16, 2017
Wuhan, China
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