Cold Start Recommendation Algorithm Based on Latent Factor Prediction

Author:

Tan Wenan,Zhou Xin,Zhang Xiao,Cai Xiaojuan,Niu Weinan

Publisher

Springer International Publishing

Reference14 articles.

1. Peña, F.J., O'Reilly-Morgan, D.: Combining rating and review data by initializing latent factor models with topic models for top-n recommendation. In: Fourteenth ACM Conference on Recommender Systems, vol. 438. Association for Computing Machinery, Virtual Event (2020)

2. Chen, Y., Liu, Z., Ji, D.: Context-aware ensemble of multifaceted factorization models for recommendation prediction in social networks (2021)

3. Jinchao, G., Jigang, Y.: Collaborative filtering algorithm based on improved SVD algorithm and bipartite K-means clustering algorithm. J. Light Ind. 35(4), 88–95 (2020)

4. Lecture Notes in Computer Science;W Tan,2019

5. Ocepek, U., Rugelj, J., Bosnić, Z.: Improving matrix factorization recommendations for examples in cold start. Expert Syst. Appl. 42, 6784 (2015)

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