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Within the scope of recommendation systems, content-based and collaborative filtering recommendations encounter difficulties when dealing with the cold start, particularly when considering the temporal evolution of item popularity. These ...

The primary objective of anomaly detection is to identify abnormal or unusual patterns within a dataset, where the number of normal samples typically exceeds that of abnormal samples. Due to the scarcity of labeled abnormal samples, traditional ...

Link prediction is a central downstream assignment in network analysis, which denotes an attempt to assess the probability of a connection between two nodes based on observed link and node properties, which can be utilized across diverse ...

In recent years, the rise of big data has popularized data-driven decision-making. However, the interpretability shortcomings of artificial intelligence (AI) models limit their reliability for critical decisions. This paper proposes a paradigm ...

The integration of Blockchain as a Service (BaaS) within the Low-Code Development Platforms (LCDPs) is expected to revolutionize the speed and accessibility of blockchain application development. This paper explores the synergy between BaaS and ...

The rapid advancement of Artificial Intelligence (AI) and Large Language Models (LLMs) has significantly transformed various sectors of society, compelling enterprises to undertake comprehensive digital transformations to remain competitive in the ...