论文信息 - A hybrid peer recommender system for an online community of teachers

A hybrid peer recommender system for an online community of teachers

In this paper we present a system that recommends online comments written by teachers –suggestions of teachers to their peers- about their experience conducting educational activities in an online educational community called Kelluwen. In Kelluwen, the teachers build, use and share collaborative didactical designs whose educational activities are based on Social Web tools. To generate the recommendations, we propose a hybrid peer-based recommender system that combines collaborative and content filtering, and is also enriched with contextual information. The results of a quantitative evaluation and a survey support the utility of the recommendation method to improve their work.

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