Search results for "preference"

showing 10 items of 819 documents

Individual responses to repeated exposures of a novel vegetable in pre-school children

2013

International audience

sweet drinks[SDV.AEN] Life Sciences [q-bio]/Food and Nutritionsweet tastesweet preference[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Investigating serendipity in recommender systems based on real user feedback

2018

Over the past several years, research in recommender systems has emphasized the importance of serendipity, but there is still no consensus on the definition of this concept and whether serendipitous items should be recommended is still not a well-addressed question. According to the most common definition, serendipity consists of three components: relevance, novelty and unexpectedness, where each component has multiple variations. In this paper, we looked at eight different definitions of serendipity and asked users how they perceived them in the context of movie recommendations. We surveyed 475 users of the movie recommender system, MovieLens regarding 2146 movies in total and compared tho…

ta113Information retrievalComputer scienceSerendipityuutuudetpalautesuosittelujärjestelmätNoveltyserendipityContext (language use)02 engineering and technologyVariation (game tree)Recommender systemunexpectednessPreferenceMovieLenssattumanovelty020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRelevance (information retrieval)relevancerecommender systemsProceedings of the 33rd Annual ACM Symposium on Applied Computing
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Interactive Multiple Criteria Decision Making based on preference driven Evolutionary Multiobjective Optimization with controllable accuracy

2012

Abstract We present an approach to interactive Multiple Criteria Decision Making based on preference driven Evolutionary Multiobjective Optimization with controllable accuracy. The approach relies on formulae for lower and upper bounds on coordinates of the outcome of an arbitrary efficient variant corresponding to preference information expressed by the Decision Maker. In contrast to earlier works on that subject, here lower and upper bounds can be calculated and their accuracy controlled entirely within evolutionary computation framework. This is made possible by exploration of not only the region of feasible variants – a standard within evolutionary optimization, but also the region of i…

ta113Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputationta111Contrast (statistics)Interactive evolutionary computationManagement Science and Operations ResearchMulti-objective optimizationOutcome (game theory)Industrial and Manufacturing EngineeringEvolutionary computationModeling and SimulationPreference (economics)Evolutionary programmingMathematicsEuropean Journal of Operational Research
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Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

2015

Classical evolutionary multi-objective optimization algorithms aim at finding an approx- imation of the entire set of Pareto optimal solutions. By considering the preferences of a decision maker within evolutionary multi-objective optimization algorithms, it is possible to focus the search only on those parts of the Pareto front that satisfy his/her preferences. In this paper, an extended preference-based evolutionary algorithm has been proposed for solving multi-objective optimiza- tion problems. Here, concepts from an interactive synchronous NIMBUS method are borrowed and combined with the R-NSGA-II algorithm. The proposed synchronous R-NSGA-II algorithm uses preference information provid…

ta113Mathematical optimizationinteractive multi-objective optimizationApplied MathematicsEvolutionary algorithmApproxDecision makerMulti-objective optimizationscalarizing functionSet (abstract data type)Pareto optimalevolutionary multi-objective optimizationpreference-based evolutionary algorithmsFocus (optics)Preference (economics)Information SystemsMathematicsInformatica
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Le goût amer : un obstacle à vaincre ?

2010

taste[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionfood preferencerejectionbitternessbitter[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Modelling the early determinants of food preferences in the OPALINE cohort

2012

Diaporama confidentielDiaporama confidentiel; The OPALINE project aimed at understanding the determining factors of the development of food preferences and eating behaviour up to the age of 2 years by following a cohort of children with a longitudinal recording of perinatal and postnatal feeding experiences, of children’s sensitivity to food tastes and odours and of parental feeding practices. The aim was to conjointly analyse the datasets to draw an overall picture of these potential determinants of food preferences and of their relative weight over the course of the first two years.The recruitment of a cohort of children (N=314) was conducted thanks to the help of local health and childho…

taste[SDV.AEN] Life Sciences [q-bio]/Food and Nutritionchildearly determinant[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionfood behaviourfood preferencedevelopmentinfant[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionolfaction
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Determinants of diet and physical activity: ensuring the healthy choice is the easy choice for consumers

2012

Communication orale (diaporama de 45 p.) ; https://www.healthydietforhealthylife.eu/

taste[SDV.AEN] Life Sciences [q-bio]/Food and Nutritioneating behaviourchildrenearly nutritioninfants[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionpreference[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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The development of food preferences and eating behavior at the beginning of life

2012

Diaporama confidentiel; absent

taste[SDV.AEN] Life Sciences [q-bio]/Food and Nutritioneating behaviourchildreninfantsearly nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionpreference[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Early development of taste and flavor preferences and consequences on eating behavior

2018

The first 1000 days of life constitute an important period for development of health and eating behavior, in particular because the mode of feeding drastically evolves, which involves that the child has to learn “how” to eat, but also “what” to eat, “how” much food to eat. After birth, when foods are orally exposed, infants discover the intrinsic properties of foods, with a variety of tastes, flavors, textures, as well as energy densities. Here we focus on deciphering the involvement of taste and olfaction in the early establishment of eating behavior. In the OPALINE French birth cohort (Observatory of Food Preferences in Infants and Children), taste and flavor preferences were studied in c…

taste[SDV.AEN] Life Sciences [q-bio]/Food and Nutritioneating behaviourchildrenodordigestive oral and skin physiologyfood and beveragesimprinting[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionfood preferences
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How does taste influence food preferences and food intake in early childhood?

2012

Humans are born with very few flavor preference. The most consistent observations concern taste: newborns exhibit an early attraction for the sweet taste, in opposition to the avoidance of the bitter taste. Odor preferences are less obvious and are generally related to prenatal learning and/or have biological relevance (Schaal, 2006). The objectives of this presentation will be to describe the early taste preference, how they evolve in early infancy (Schwartz, Issanchou, & Nicklaus, 2009), and how the taste of the foods or the individual attraction toward tastes might influence food preference in infancy (Schwartz, Chabanet, Lange, Issanchou, & Nicklaus, 2011), as well as food intake in ear…

taste[SDV.AEN] Life Sciences [q-bio]/Food and Nutritionfood intakechildren[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionfood preferenceinfant[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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