Recently, the fast development of Large Language Models (LLMs) such as
C...
Transformer-based sequential recommendation (SR) has been booming in rec...
The rapid growth of social media has caused tremendous effects on inform...
By summarizing longer consumer health questions into shorter and essenti...
Recently, Fourier transform has been widely introduced into deep neural
...
Most session-based recommender systems (SBRSs) focus on extracting
infor...
Multivariate time series (MTS) forecasting has penetrated and benefited ...
Next basket recommender systems (NBRs) aim to recommend a user's next
(s...
Story ending generation aims at generating reasonable endings for a give...
Automatic tumor or lesion segmentation is a crucial step in medical imag...
In recent years, sequential recommender systems (SRSs) and session-based...
Session-based recommendations (SBRs) recommend the next item for an anon...
News recommender systems are essential for helping users to efficiently ...
The changing preferences of users towards items trigger the emergence of...
Recent years have witnessed the fast development of the emerging topic o...
Recommender systems have played an increasingly important role in provid...
Streaming Recommender Systems (SRSs) commonly train recommendation model...
A transaction-based recommender system (TBRS) aims to predict the next i...
Automatic tumor segmentation is a crucial step in medical image analysis...
Recent years have witnessed the fast development of the emerging topic o...
The emerging topic of sequential recommender systems has attracted incre...
Session-based recommender systems (SBRS) are an emerging topic in the
re...