Knowledge-enhanced personalized hierarchical attention network for sequential recommendation
Sequential recommendation aims to predict the next items that users will interact with according to the sequential dependencies within historical user interactions. Recently, self-attention based sequence modeling methods have become the ...
Adaptive retrofitting for industrial machines: utilizing webassembly and peer-to-peer connectivity on the edge
Leveraging previously untapped data sources offers significant potential for value creation in the manufacturing sector. However, asset-heavy shop floors, extended machine replacement cycles, and equipment diversity necessitate considerable ...
A novel robust memetic algorithm for dynamic community structures detection in complex networks
Networks in the real world are dynamic and evolving. The most critical process in networks is to determine the structure of the community, based on which we can detect hidden communities in a complex network. The design of strong network ...
Discrete cross-modal hashing with relaxation and label semantic guidance
Supervised cross-modal hashing has attracted many researchers. In these studies, they seek a common semantic space or directly regress the zero-one label information into the Hamming space. Although they achieve many achievements, they neglect ...
Privacy-preserving data publishing: an information-driven distributed genetic algorithm
The privacy-preserving data publishing (PPDP) problem has gained substantial attention from research communities, industries, and governments due to the increasing requirements for data publishing and concerns about data privacy. However, ...
Efficient approximation and privacy preservation algorithms for real time online evolving data streams
Because of the processing of continuous unstructured large streams of data, mining real-time streaming data is a more challenging research issue than mining static data. The privacy issue persists when sensitive data is included in streaming data. ...