SkillsRec Recommender: A novel skill-similarity based semantic-analysis model for online Personal Learning Environments that is driven on teacher-competencies and learner-interests

摘要

Summary form only given. SkillsRec recommender (Skills based Recommender) is a novel Latent Semantic Analysis model driven recommendation system for online Personal Learning Environments that develops skill-similarity based user-user recommendations through semantically analyzing teacher-competencies and learner-interests. The recommender provides a solution to the inherent, massive and exponentially increasing information-overload problem of online environments.