Recently, neighborhood-based collaborative filtering has been increasingly used in
personalized recommender systems. However, inevitably, the neighborhood selection is …

To alleviate the sparsity issue, many recommender systems have been proposed to
consider the review text as the auxiliary information to improve the recommendation quality …

In recent years, the recommender system has been widely used in online platforms, which
can extract useful information from giant volumes of data and recommend suitable items to …

Collaborative filtering (CF) algorithms provide personalized recommendations based on
user preferences and they are widely applied in various domains including social media and …

The next basket recommendation task aims to predict the items in the user's next basket by
modeling the user's basket sequence. Existing next basket recommendations focus on …

With the development of intelligent manufacturing driven by new-generation information
technology, manufacturing service collaborative chains (MSCC) based on Industrial Internet …

For second-order general nonlinear systems with uncertainties, a control scheme combining
fractional-order fast terminal sliding mode control (FOFTSMC) and self-organizing emotional …

Due to the capability of encoding auxiliary information for alleviating the data sparsity issue,
knowledge graph (KG) has gained an increasing amount of attention in recent years. With …

Most existing recommendation methods assume that all the items are provided by separate
producers rather than users. However, it could be inappropriate in some recommendation …

Although recommender systems have achieved considerable success, sometimes it is
difficult to convince users due to the failure to explain the recommendation results. For this …