A Dynamically Weighted Directed Network (DWDN) is usually used to describe a complex
interaction system, such as the Internet of Things, where a weighted directed link denotes a …

Fully-connected tensor network (FCTN) has recently drawn lots of attention in tensor
completion due to its full description of all correlations between any two modes. However …

Sequential recommendation has attracted a lot of attention from both academia and industry,
however the privacy risks associated with gathering and transferring users' personal …

Recommender systems offer an efficient solution to the problem of information overload,
which is exacerbated by the rapid expansion of data. Context-aware recommender systems …

Different from the data sparsity that traditional recommendations suffer from, context-aware
recommender systems (CARS) face specific sparsity challenges related to contextual …

Recently, tensor factorization models have shown superiority in solving traffic data
imputation problem. However, these approaches have a limited ability to learn traffic data …

Existing research on recommender systems primarily focuses on improving a single
objective, such as prediction accuracy, often ignoring other crucial aspects of …

By evaluating and applying some filtering to identify the user's interests, the
recommendation system operates on the principle of proposing or recommending things …

A dynamic directed network (DDN) is becoming pyramidally popular to character complex
interactions across various entities. When extracting valuable knowledge from it, a latent …

The high-frequency trading system in the financial domain has long been a focal point of
investigation. This study posits an intelligent financial system design framework predicated …