5 papers
CRUISE on Quantum Computing for Feature Selection in Recommender Systems
Jiayang Niu, Jie Li, Ke Deng +1
Using Quantum Computers to solve problems in Recommender Systems that classical computers cannot address is a worthwhile research topic. In this paper, we use Quantum Annealers to…
Intensity-free Integral-based Learning of Marked Temporal Point Processes
Sishun Liu, Ke Deng, Xiuzhen Zhang +1
In the marked temporal point processes (MTPP), a core problem is to parameterize the conditional joint PDF (probability distribution function) for inter-event time a…
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction
Kyle K. Qin, Yongli Ren, Wei Shao +3
Sparsity is a common issue in many trajectory datasets, including human mobility data. This issue frequently brings more difficulty to relevant learning tasks, such as trajectory i…
Imagining Future Digital Assistants at Work: A Study of Task Management Needs
Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman +11
Digital Assistants (DAs) can support workers in the workplace and beyond. However, target user needs are not fully understood, and the functions that workers would ideally want a D…
Translating Human Mobility Forecasting through Natural Language Generation
Hao Xue, Flora D. Salim, Yongli Ren +1
Existing human mobility forecasting models follow the standard design of the time-series prediction model which takes a series of numerical values as input to generate a numerical…