Combining Data-Driven and Domain Knowledge Components in an Intelligent Assistant to Build Personalized Menus

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2019 English Publisher:Springer International Publishing

Authors: Sànchez-Marrè, Miquel; Gibert, Karina; Sevilla-Villanueva, Beatriz;

doi: 10.1007/978-3-030-19651-6_17

handle: 2117/189154

Combining Data-Driven and Domain Knowledge Components in an Intelligent Assistant to Build Personalized Menus

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Abstract

In this paper, some new components that have been integrated in the Diet4You system for the generation of nutritional plans are introduced. Negative user preferences have been modelled and introduced in the system. Furthermore, the cultural eating styles originated from the location where the user lives have been taken into account dividing the original menu plan in sub-plans. Each sub-plan is in charge to optimize one of the meals of one day in the personal menu of the user. The main latent reasoning mechanism used is case-based reasoning, which reuses previous menu configurations according to the nutritional plan and the corresponding hard constraints and the user preferences to meet a personalized recommendation menu for a given user. It uses the cognitive analogical reasoning technique in addition to ontologies, nutritional databases and expert knowledge. The preliminary results with some examples of application to test the new contextual components have been very satisfactory according to the evaluation of the experts. This work has been partially supported by the project Diet4You (TIN2014-60557-R), the Spanish Thematic Network MAPAS [TIN2017-90567-REDT (MINECO/FEDER EU)], and the Consolidated Research Group Grant from AGAUR (Generalitat de Catalunya) IDEAI-UPC (AGAUR SGR2017-574). Peer Reviewed

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Keywords

Personalized recommendation, Classificació AMS::90 Operations research, Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica, mathematical programming::90C Mathematical programming, Knowledge management, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Nutritional plan prescription, Healthy life-styles, :90 Operations research, mathematical programming::90C Mathematical programming [Classificació AMS], Classificació AMS::90 Operations research, mathematical programming::90C Mathematical programming, :68 Computer science::68T Artificial intelligence [Classificació AMS], Menus -- Planning, Case-based reasoning, :Informàtica::Aplicacions de la informàtica [Àrees temàtiques de la UPC], Classificació AMS::68 Computer science::68T Artificial intelligence, Ontologies (Information retrieval), Menús -- Planificació, Ontologies (Informàtica), Recommender systems (Information filtering), Contextual information, :Informàtica::Intel·ligència artificial [Àrees temàtiques de la UPC], Sistemes recomanadors (Filtratge d'informació)

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Diet4You: A Personal Intelligent Recommender for Diets from a Holistic Perspective
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