Search results for "latent variable model"

showing 2 items of 12 documents

Validation of the Cycling Behavior Questionnaire: A tool for measuring cyclists' road behaviors

2018

Abstract Introduction Even though cycling is an activity whose benefits in terms of urban mobility and health are globally recognized, its disproportional growth during the past few decades has led to some unexpected dynamics. In fact, the increasing number of traffic injuries and deaths involving cyclists has a high cost for public health systems. Considering the available empirical evidence, aberrant and positive behaviors on the road constitute relevant predictors for the injuries suffered by road users. Nevertheless, the scarcity of tools that measure and evaluate the behavior of road users, especially in the case of cyclists, constitutes a serious lack in terms of explaining, interveni…

medicine.medical_specialtymedia_common.quotation_subjectApplied psychologyTransportationCycling Behavior QuestionnaireCBQScarcityInternal consistency0502 economics and businessmedicineRisky behaviors0501 psychology and cognitive sciencesLatent variable modelEmpirical evidence050107 human factorsApplied PsychologyCivil and Structural EngineeringRoad usermedia_common050210 logistics & transportationCiclistas -- ActitudesPublic health05 social sciencesPositive behaviorsCompetencia (Psicología)Aberrant riding behaviorsCyclistsDesplazamiento (Psicología)Scale (social sciences)Automotive EngineeringRoad behaviorPsychologyCyclinghuman activitiesTransportation Research Part F: Traffic Psychology and Behaviour
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Social Collaborative Viewpoint Regression with Explainable Recommendations

2017

A recommendation is called explainable if it not only predicts a numerical rating for an item, but also generates explanations for users' preferences. Most existing methods for explainable recommendation apply topic models to analyze user reviews to provide descriptions along with the recommendations they produce. So far, such methods have neglected user opinions and influences from social relations as a source of information for recommendations, even though these are known to improve the rating prediction. In this paper, we propose a latent variable model, called social collaborative viewpoint regression (sCVR), for predicting item ratings based on user opinions and social relations. To th…

ta113Topic modelInformation retrievalComputer sciencetopic modeling02 engineering and technologyRecommender systemtrusted social relationsViewpointsSocial relationRegression020204 information systemsBenchmark (surveying)0202 electrical engineering electronic engineering information engineeringuser comment analysis020201 artificial intelligence & image processingrecommender systemsTupleLatent variable modelProceedings of the Tenth ACM International Conference on Web Search and Data Mining
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