A Two-Phase Deep Learning-Based Recommender System: Enhanced by a Data Quality Inspector

• Published in: Applied sciences Vol. 11; no. 20; p. 9667
• Main Authors: Lemus Leiva, William, Li, Meng-Lin, Tsai, Chieh-Yuan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2021
• Subjects: Accuracy; Algorithms; Collaboration; collaborative filtering; data quality; Deep learning; Information overload; Natural language; Neural networks; Ratings & rankings; recommendation system; Recommender systems; Sentiment analysis; text classification

Research regarding collaborative filtering recommenders has grown fast lately. However, little attention has been paid to discuss how the input data quality impacts the result. Indeed, some review-rating pairs that a user gave to an item are inconsistent and express a different opinion, making the r...