Promoting smart tourism personalised services via a combination of deep learning techniques
Coronavirus has radically changed the world and our lives in many and various ways.
During this crisis, the tourism sector was severely damaged globally, as, within some weeks …
During this crisis, the tourism sector was severely damaged globally, as, within some weeks …
Tag-informed collaborative topic modeling for cross domain recommendations
J Wang, J Lv - Knowledge-Based Systems, 2020 - Elsevier
Collaborative topic modeling is powerful to alleviate data sparsity in recommender systems
owing to the incorporation of collaborative filtering and topic models. However sufficient …
owing to the incorporation of collaborative filtering and topic models. However sufficient …
Bayesian low-rank matrix completion with dual-graph embedding: Prior analysis and tuning-free inference
Recently, there is a revival of interest in low-rank matrix completion-based unsupervised
learning through the lens of dual-graph regularization, which has significantly improved the …
learning through the lens of dual-graph regularization, which has significantly improved the …
Bayesian low-rank matrix completion with dual-graph embedding: Prior analysis and tuning-free inference
Recently, there is a revival of interest in low-rank matrix completion-based unsupervised
learning through the lens of dual-graph regularization, which has significantly improved the …
learning through the lens of dual-graph regularization, which has significantly improved the …
Context-aware based evolutionary collaborative filtering algorithm
Recommender systems are tools that provide personalized suggestions of items for users.
They must be able to adapt constantly to user preferences and behavior in order to generate …
They must be able to adapt constantly to user preferences and behavior in order to generate …
Matrix factorization for collaborative filtering is just solving an adjoint latent dirichlet allocation model after all
F Wilhelm - Proceedings of the 15th ACM Conference on …, 2021 - dl.acm.org
Matrix factorization-based methods are among the most popular methods for collaborative
filtering tasks with implicit feedback. The most effective of these methods do not apply sign …
filtering tasks with implicit feedback. The most effective of these methods do not apply sign …