Padrões de design de interação para Sistemas de Recomendação.

• Ano de defesa: 2018
• Autor(a) principal: ANDRADE, Leanjoelson Souza
• Orientador(a): SOARES NETO, Carlos de Salles
• Banca de defesa: SOARES NETO, Carlos de Salles , OBREGON, Rosane de Fátima Antunes , ZANDOMENEGHI, Ana Lucia Alexandre de Oliveira , GUEDES, Álan Livio Vasconcelos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Maranhão
• Programa de Pós-Graduação: PROGRAMA DE PÓS-GRADUAÇÃO EM DESIGN/CCET
• Departamento: DEPARTAMENTO DE INFORMÁTICA/CCET
• País: Brasil
• Palavras-chave em Português: Design de interação; Percurso cognitivo; Sistema de recomendação
• Palavras-chave em Inglês: Interaction design; Cognitive Walkthrough; Recommender Systems
• Área do conhecimento CNPq: Engenharia de Software.
• Link de acesso: https://tedebc.ufma.br/jspui/handle/tede/2333

Recommender Systems are software tools that provide suggestions for items that may be useful to the user. These systems create a profile for storing usage data, which is used to indicate new products. Recommender Systems are present in virtual stores, streaming services, travel websites, among others. This dissertation aims to investigate and present interaction patterns for recommender systems. To achieve this goal the study was divided into three stages. In the first phase, a systematic review was carried out to identify research related to interaction elements of the recommender systems. Then, thirteen digital platforms were selected that adopt recommender systems and the Cognitive Walkthrough was carried out to map the interaction elements. With the collected data it was possible to elaborate interaction patterns that could help designers and developers in future projects of recommender systems.