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A Tensor Factorization on Rating Prediction for Recommendation by Feature Extraction from Reviews
2020
International Journal of Networking and Computing
In many online review sites or social media, each user is encouraged to assign a numeric rating and write a textual review as a feedback to each item that he had gotten, e.g., a product that he had bought, a place that he had visited, a service that he had received. Sometimes, feedbacks by some users would be affected by some contextual factors such as weather, distance, time, and season. Therefore, the context-aware approach is being developed by utilizing the user's contextual information to
doi:10.15803/ijnc.10.2_111
fatcat:5yk4tf3wanchbaey5x5jlbjmky