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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Aplicando t?cnicas de recomenda??o em sistemas de ajuda em pares

M?ller, Luana 25 March 2013 (has links)
Made available in DSpace on 2015-04-14T14:50:04Z (GMT). No. of bitstreams: 1 450555.pdf: 3122283 bytes, checksum: 9eaeb2d71061a1937700024d7aad7dfc (MD5) Previous issue date: 2013-03-25 / Despite help systems have been considered a way to help users to better understand and use applications in general, users are still resistant in using them. Aiming to promote and encourage their use, peer help systems promote aid from applications users through the formation of pairs of users that will interact to complement the assistance provided by online help system. In this context, this study aims to support the process of users search and selection to form these pairs using recommender systems and, thus, try to qualify users understanding about the environment where they are inserted. In this regard, it was proposed a selection process of pairs that use similarity index and relevant criteria mentioned by users. This process was directed to a collaborative learning environment that was chosen because it is growing and has a wide range of user profiles and tasks making it a fertile environment for the implementation of a help system. The proposed process was implemented in a prototype of a peer help system, allowing the analysis of the pair formation that was made and thus getting information about the effectiveness of its use, and therefore making it possible to analyze the potential of the use of recommendation techniques with the process of forming pairs. / Apesar de serem uma forma de ajudar os usu?rios a entenderem melhor e, por consequ?ncia, fazerem um melhor uso das aplica??es que necessitam usar, os sistemas de ajuda ainda enfrentam a resist?ncia dos usu?rios. Visando promover melhorias e incentivar seu uso, os sistemas de ajuda em pares promovem ajuda proveniente dos pr?prios usu?rios da aplica??o atrav?s da forma??o de pares de usu?rios, que ir?o interagir, de forma a complementar a ajuda oferecida pelo sistema de ajuda on-line. Neste contexto, o objetivo do presente trabalho ? apoiar, com o uso de sistemas de recomenda??o, o processo de busca e sele??o de usu?rios para a forma??o destes pares e desta forma tentar qualificar a compreens?o dos usu?rios sobre o ambiente em que est?o inseridos. Para isto foi proposto um processo de sele??o de pares utilizando ?ndices de similaridade (provenientes de algoritmos de recomenda??o) e crit?rios de escolha apontados pelos usu?rios. Este processo foi direcionado para ambientes colaborativos de ensino, os quais foram escolhidos por estarem em expans?o e possu?rem uma variada gama de perfis de usu?rios e de tarefas, o que os torna um ambiente f?rtil para a aplica??o de um sistema de ajuda. O processo proposto foi implementado em um prot?tipo de sistema de ajuda em pares, permitindo analisar a forma??o de pares feitas e, assim obter informa??es a respeito da efetividade de seu uso, sendo poss?vel com isso analisar as potencialidades do uso de t?cnicas de recomenda??o agregadas ao processo de sele??o de pares.

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