Predicting Personalized Textual Reviews via Collaborative Filtering using Document Embedding
Author:
Affiliation:
1. Computer Science & Information Systems, Bradley University, United States
2. Computer Science & Information Systems, Bradley University, United States and OSF HealthCare, United States
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3581754.3584147
Reference15 articles.
1. Aggarwal , C. C. 2016. An introduction to recommender systems . In Recommender systems (pp. 1-28) . Springer , Cham . Aggarwal, C. C. 2016. An introduction to recommender systems. In Recommender systems (pp. 1-28). Springer, Cham.
2. Multi-Criteria Review-Based Recommender System–The State of the Art
3. Recommender systems based on user reviews: the state of the art
4. An Empirical Evaluation of Document Embeddings and Similarity Metrics for Scientific Articles
5. A survey on the techniques, applications, and performance of short text semantic similarity
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