29,253 research outputs found

    Make it personal: a social explanation system applied to group recommendations

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    Recommender systems help users to identify which items from a variety of choices best match their needs and preferences. In this context, explanations act as complementary information that can help users to better comprehend the system’s output and to encourage goals such as trust, confidence in decision-making or utility. In this paper we propose a Personalized Social Individual Explanation approach (PSIE). Unlike other expert systems the PSIE proposal novelly includes explanations about the system’s group recommendation and explanations about the group’s social reality with the goal of inducing a positive reaction that leads to a better perception of the received group recommendations. Among other challenges, we uncover a special need to focus on “tactful” explanations when addressing users’ personal relationships within a group and to focus on personalized reassuring explanations that encourage users to accept the presented recommendations. Besides, the resulting intelligent system significatively increases users’ intent (likelihood) to follow the recommendations, users’ satisfaction and the system’s efficiency and trustworthiness

    Psychological elements explaining the consumer's adoption and use of a website recommendation system: A theoretical framework proposal

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    The purpose of this paper is to understand, with an emphasis on the psychological perspective of the research problem, the consumer's adoption and use of a certain web site recommendation system as well as the main psychological outcomes involved. The approach takes the form of theoretical modelling. Findings: A conceptual model is proposed and discussed. A total of 20 research propositions are theoretically analyzed and justified. Research limitations/implications: The theoretical discussion developed here is not empirically validated. This represents an opportunity for future research. Practical implications: The ideas extracted from the discussion of the conceptual model should be a help for recommendation systems designers and web site managers, so that they may be more aware, when working with such systems, of the psychological process consumers undergo when interacting with them. In this regard, numerous practical reflections and suggestions are presented

    Improving Ontology Recommendation and Reuse in WebCORE by Collaborative Assessments

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    In this work, we present an extension of CORE [8], a tool for Collaborative Ontology Reuse and Evaluation. The system receives an informal description of a specific semantic domain and determines which ontologies from a repository are the most appropriate to describe the given domain. For this task, the environment is divided into three modules. The first component receives the problem description as a set of terms, and allows the user to refine and enlarge it using WordNet. The second module applies multiple automatic criteria to evaluate the ontologies of the repository, and determines which ones fit best the problem description. A ranked list of ontologies is returned for each criterion, and the lists are combined by means of rank fusion techniques. Finally, the third component uses manual user evaluations in order to incorporate a human, collaborative assessment of the ontologies. The new version of the system incorporates several novelties, such as its implementation as a web application; the incorporation of a NLP module to manage the problem definitions; modifications on the automatic ontology retrieval strategies; and a collaborative framework to find potential relevant terms according to previous user queries. Finally, we present some early experiments on ontology retrieval and evaluation, showing the benefits of our system

    Implementation of a thermal-based food recommendation system

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    Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do ParanáO modelo convencional de uma consulta de nutricionista baseia-se na análise dos dados do paciente pelo nutricionista e na provisão de um plano nutricional com base nos objetivos do paciente, e este ciclo é repetido a cada consulta. Para fazer isso, o nutricionista coleta a maior quantidade de informações possíveis durante a consulta e é com base nesse conjunto de dados que ele estabelece o plano nutricional. Por outro lado, a definição desse plano não é uma tarefa fácil, pois existe uma grande variedade de alimentos e o plano deve seguir muitas restrições e ao mesmo tempo dar alguma liberdade para o paciente escolher entre um conjunto de possibilidades. Outra questão importante é a possibilidade de monitorar a dieta do paciente, obtendo mais informações para os próximos planos sem a necessidade de agendar uma nova consulta. Neste projeto, propomos um sistema capaz de coletar dados do usuário para que o nutricionista possa analisar o paciente e fornecer planos nutricionais mais precisos, eficazes e com uma maior variedade de refeições com base nas preferências de cada usuário, tornando a experiência mais agradável para o usuário e auxiliando o trabalho do nutricionista. Um sistema de recomendação também foi proposto para auxiliar o nutricionista na geração do plano nutricional. Este sistema seria capaz de analisar as preferências do usuário e preencher as refeições do plano nutricional seguindo as regras impostas. Além disso, foi projetado para incluir e priorizar os alimentos termicamente baseados produzidos no contexto do projeto Aquae Vitae.The conventional model of a nutritionist consultation is based on the nutritionist analyzing the patient’s data and providing a nutritional plan based on the patient’s goals, and this cycle is repeated at each consultation. In order to do that the nutritionist collects the greatest amount of information that it’s possible to get during the consultation and is based on that set of data that he establish the nutritional plan. By other hand, the definition of that plan isn’t an easy task because there is an huge variety of food and the plan should follow lots of restrictions and at the same time give some freedom to the patient to choose in between a set of possibilities. Another important issue is the possibility of monitoring the patient diet geting more information for the next plans without the need to schedule a new consultation. In this project we proposed a system capable of collecting data from the user so that the nutritionist can analyze the patient and provide nutritional plans that are more accurate, effective, and with a greater variety of meals based on each user’s preferences, making the experience more pleasant for the user and assisting the nutritionist’s work. A recommendation system was also proposed to aid the nutritionist in generating the nutritional plan. This system would be capable of analyzing the user’s preferences and filling in the meals of the nutritional plan following the imposed rules. Moreover, it has been designed to include and prioritize the thermally-based food items produced within the context of the Aquae Vitae project

    Annual report 1992 - North Pacific Marine Science Organization (PICES). First meeting, Victoria, B.C., Canada, October 12-17, 1992

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    Document has 52 pages

    Integrating latent variables in discrete choice models – How higher-order values and attitudes determine consumer choice

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    Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, to date applications of ICLV models in marketing are still rare. The present study on travel mode choice clearly demonstrates the value of ICLV models to enhance understanding of choice processes. In addition to the usually studied directly observable variables such as travel time, we show how abstract motivations such as power and hedonisms as well as attitudes such as a desire for flexibility impact on travel mode choice. Further, we can show that it is possible to estimate ICLV models with the widely available structural equation modeling package Mplus. This finding is likely to encourage wider usage of this appealing model class in the marketing field.Hybrid choice models; Mode choice; Values; Value-attitude hierarchy; Mplus
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