An efficient approach for improving the predictive accuracy of multi-criteria recommender system
Recommender Systems are useful information filtering tools that have reduced information
overload over the web. Collaborative filtering (CF) is one of the extensively used …
overload over the web. Collaborative filtering (CF) is one of the extensively used …
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System
The multiplayer online battle arena (MOBA) genre has gained significant popularity and
economic success, attracting considerable research interest within the Human-Computer …
economic success, attracting considerable research interest within the Human-Computer …
Product Recommendation System With Machine Learning Algorithms for SME Banking
In the present era, where competition pervades across all domains, profitability holds crucial
economic importance for numerous companies, including the banking industry. Offering the …
economic importance for numerous companies, including the banking industry. Offering the …
Robust Preference-Guided based Disentangled Graph Social Recommendation
GF Ma, XH Yang, Y Zhou, H Long… - … on Network Science …, 2024 - ieeexplore.ieee.org
Social recommendations introduce additional social information to capture users' potential
item preferences, thereby providing more accurate recommendations. However, friends do …
item preferences, thereby providing more accurate recommendations. However, friends do …
AOTree: Aspect Order Tree-based Model for Explainable Recommendation
Recent recommender systems aim to provide not only accurate recommendations but also
explanations that help users understand them better. However, most existing explainable …
explanations that help users understand them better. However, most existing explainable …
An Empirical Analysis on Leveraging User Reviews with NLP-Enhanced Word Embeddings for App Rating Prediction
The growth in mobile applications (apps) is rapid and immense. What was once a
technology to satisfy the basic needs of a mobile user has now become a huge source of …
technology to satisfy the basic needs of a mobile user has now become a huge source of …
Enhancing Multi-Criteria Recommendation: Incorporating Edge Weights in Graph Convolution
D Jo - 2024 - scholarworks.calstate.edu
With the growing influence of multi-criteria (MC) recommender systems across various
technological service domains, there has been a notable surge in research and …
technological service domains, there has been a notable surge in research and …