Using collaborative filtering to support college students’ use of online forum for English learning

Wang, Peiyu; Yang, Hui-Chun

doi:10.1016/j.compedu.2012.02.007

Cited by 42 publications

(25 citation statements)

References 8 publications

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“…Zhang et al (2013) combined the social relationships in microblogs for television program recommendation. Wang and Yang (2012) investigated CF and proved that applying CF recommendation to course recommendation effectively improves learning outcomes. Lee et al (2010) combined data mining with CF recommendation by using the Internet to enhance mobile music recommender systems.…”

Section: Collaborative Filtering Recommendationmentioning

confidence: 98%

A hybrid approach for personalized service staff recommendation

Chang

Jung

2015

Inf Syst Front

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In this study, we established a novel set of service procedures that epitomize the human-centered spirit of service. By using self-organizing maps and collaborative filtering recommendation, we developed a mechanism that links the two service procedures of selecting service staff members and how customers decide tip amounts based on perceived value. Through the proposed mechanism, the recommender system could effectively predict customer preferences regarding service staff members and assign suitable members for delivering services. In addition, this study integrated the service experiences of previous customers with local tipping cultures for calculating recommended tip amounts for the reference of customers. Under this mechanism, the customercentered spirit can be completely integrated into service procedures for effectively enhancing customer satisfaction, increasing the job satisfaction of employees, and producing a virtuous cycle of service quality improvement.

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Section: Collaborative Filtering Recommendationmentioning

confidence: 98%

A hybrid approach for personalized service staff recommendation

Chang

Jung

2015

Inf Syst Front

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“…Em [Wang and Yang 2012], um algoritmo de filtragem colaborativa baseada no usuárioé aplicado a um fórum online para aprendizado de Língua Inglesa. Com isso, foi possível recomendar tópicos do fórum aos estudantes.…”

Section: Trabalhos Relacionadosunclassified

Recomendação de Objetos de Aprendizagem utilizando Filtragem Colaborativa: Uma comparação entre abordagens de pré-processamento por meio de clusterização

Santos

Cechinel

Araújo

et al. 2015

Anais Do XXVI Simpósio Brasileiro De Informática Na Educação (SBIE 2015)

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Abstract. Collaborative Filtering can be used in the context of e-learning to recommend learning objects to students and teachers involved with the teaching and learning process. Even though such technique presents a great potential for e-learning, studies related to this application in this field are still limited, mostly because the inexistence of available datasets for testing and evaluating. The present work evaluates two pre-processsing methods through clustering for future use of collaborative filtering algorithms. For that we use a large data set collected from the MERLOT repository. The initial results point out that clustering learning objects before the use of collaborative filtering techniques can improve the recommender performance.Resumo. No contexto de e-learning a filtragem colaborativa pode servir para a recomendação de objetos de aprendizagem aos estudantes e professores envolvidos no processo de ensino-aprendizagem. Ainda que tal técnica apresente grande potencial no contexto educacional, os estudos existentes sobre sua utilização nesse domínio são bastante limitados, sobretudo pelas barreiras encontradas na disponibilização de conjuntos de dados para teste e avaliação. O presente trabalho avalia dois métodos de pré-processamento por meio de clusterização para a posterior utilização por um algoritmo de filtragem colaborativa utilizando uma base de dados de ratings de objetos de aprendizagem coletada do tradicional repositório MERLOT. Os resultados iniciais encontrados apontam que o agrupamento de objetos de aprendizagem melhora o desempenho do algoritmo de filtragem colaborativa.

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“…with the help of tags. The study of the applicability of such tools is described in paper [4]. Some researchers attempt to apply qualitatively new methods, such as, for example, collaborative filtering [5], used for reduction of the overall information noise.…”

Section: Existing Methods For Reduce Information Overloadmentioning

confidence: 99%

Adaptive Discussion Forum for Reduce Information Overload

Kozko¹,

Melnikov

2016

Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

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-nowadays an extremely large number of people is involved in the process of creating new information. This causes information overload, which reduces the effectiveness of traditional means of online interaction. We propose an approach that we hope will help to work with the increasing volumes of information. In this paper, we describe the algorithms and methods of forum restructuring aimed at simplifying the user's work and reducing the information overload for the user.

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Using collaborative filtering to support college students’ use of online forum for English learning

Cited by 42 publications

References 8 publications

A hybrid approach for personalized service staff recommendation

A hybrid approach for personalized service staff recommendation

Recomendação de Objetos de Aprendizagem utilizando Filtragem Colaborativa: Uma comparação entre abordagens de pré-processamento por meio de clusterização

Adaptive Discussion Forum for Reduce Information Overload

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