Towards Explaining Latent Factors with Topic Models in Collaborative Recommender Systems

Related Articles

• A Latent Topic Based Collaborative Filtering Recommendation Algorithm for Web Communities
  Web Information Systems and Applications Conference
• Knowledgeable Explanations for Recommender Systems
  Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
• Interest Mining and Recommender System for Local Activities
  Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
• Boosting Trust in Collaborative Recommender Agents with Interest Similarity
  Sistemas Colaborativos, Simpósio Brasilerio de
• Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction
  IEEE Transactions on Knowledge & Data Engineering
• Content Embedding Regularized Matrix Factorization for Recommender Systems
  2017 IEEE International Congress on Big Data (BigData Congress)
• DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems
  2022 IEEE International Conference on Data Mining Workshops (ICDMW)
• Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems
  IEEE Transactions on Big Data
• Latent Feature Modelling for Recommender Systems
  2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI)
• Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference
  2020 25th International Conference on Pattern Recognition (ICPR)