A5100634828- Recommender Systems and Techniques
- Caching and Content Delivery
- Educational Games and Gamification
- Diverse Music Education Insights
- Visual and Cognitive Learning Processes
- Insurance, Mortality, Demography, Risk Management
- Business, Innovation, and Economy
- Mass Spectrometry Techniques and Applications
- Educational Theory and Curriculum Studies
- Design Education and Practice
- Ideological and Political Education
- Gene expression and cancer classification
- Virtual Reality Applications and Impacts
- Music Technology and Sound Studies
- Second Language Learning and Teaching
- Digital Media and Visual Art
- Video Analysis and Summarization
- Educational Technology and Pedagogy
- Flow Experience in Various Fields
- Cloud Computing and Resource Management
- Image Retrieval and Classification Techniques
- Neural Networks and Applications
- Scientific Research and Technology
- Water Quality Monitoring and Analysis
- Topic Modeling
Hunan Women'S University
2025
Universiti Sains Malaysia
2023-2024
Shenzhen University
2024
Yangzhou University
2023
Dublin City University
2013
China Pharmaceutical University
2009
This study investigates the effectiveness of digital games in arts education for learning art knowledge and enhancing interest. Art includes topics history, production, esthetics, criticism. A quasi-experimental approach was used this study. 1-month course on conducted with 40 participants using experimental group traditional instruction control group. The pretest posttest scores were analyzed descriptive statistics, significance testing, variance analyses. It found that effective In...
Cross-domain sequential recommendation (CDSR) shifts the modeling of user preferences from flat to stereoscopic by integrating and learning interaction information multiple domains at different granularities (ranging inter-sequence intra-sequence single-domain cross-domain). In this survey, we initially define CDSR problem using a four-dimensional tensor then analyze its multi-type input representations under multidirectional dimensionality reductions. Following that, provide systematic...
Personalized Recommender systems have been widely used on many large websites in various business fields to tackle with problems like excessive information and overload. For the purpose of improving user experience stickiness, this study proposes a personalized system for facilitating users B2B ECommerce platform retrieve extract information. The proposed Mingle-TopN hybrid Recommendation algorithm combines collaborate filtering content-based filtering, improve effectiveness efficiency...
The integration of industry and education is the driving force goal development vocational colleges, key to solving structural contradiction talent demand, objective requirement improve quality cultivation.At present, there are still problems in cultivation art design majors, such as low matching between supply enterprise insufficient close cooperation schools enterprises, a single form education.Exploring construction an applied model, specific measures include establishing composite...