Fine-grained Sentiment-enhanced Collaborative Filtering-based Hybrid Recommender System
Rawaa Alatrash,
Rojalina Priyadarshini
Abstract:Developing online educational platforms necessitates the incorporation of new intelligent procedures in order to improve long-term student experience. Presently, e-learning recommender systems rely on deep learning methods to recommend appropriate e-learning materials to the students based on their learner profiles. Fine-grained sentiment analysis (FSA) can be leveraged to enrich the recommender system. User-posted reviews and rating data are vital in accurately directing the student to the appropriate e-learn… Show more
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