Resource collaboration system based on user history and the psychological mode

Deep Collaborative Online Learning Resource Recommendation Based on Attention Mechanism

“…Parameter Setting. In this experiment, the model learning rate was set at 0.001, the number of iterations was 20, and the predicted number was k � 10. e model adopts the cross-entropy loss function, which is calculated by the formula as follows [23,24]:…”

Context, intelligence and interactions for personalized systems

“…The research topics covered in this special issue are wideranging, including context modelling and inference for smart environments (Alegre-Ibarra et al 2018; Mulero et al 2018; Nakahara and Beder 2018), localization tracking (Chen et al 2018;Xin et al 2018), optimization of energy consumption (Hammoud et al 2018), behavior mining and activity recognition (Han et al 2018;Zhang et al 2018), image analysis (Wu et al 2018), social event mining and mobile crowd sensing (Pan et al 2018;Park 2018), and behavior-based privacy (Tao et al 2018).…”

“…The system integrates a semi-automatic segmentation method, a de-redundancy algorithm, an elastic net feature selection and a linear prediction model. While paper 'A Resource Recommender System based on User History and the Psychological Model' (Park 2018) authored by Jonghyun Park, investigates a customized resource recommendation system for mobile device users, reducing reasoning time and increase user satisfaction by a DISC physiological model; paper 'A Survey of RDF Management Technologies and Bechmark Datasets' (Pan et al 2018) by Zhengyu Pan et al discusses the state-of-theart Resource Description Framework storage and query technologies, and introduced and compared benchmark datasets.…”

“…2018;Mulero et al 2018;Nakahara and Beder 2018;Zhang et al 2018), indoor and outdoor localization(Chen et al 2018;Han et al 2018;Xin et al 2018), crowd-sourced big data analysis(Pan et al 2018;Park 2018), privacy…”