Dynamic multi-criteria decision making of graduate admission recommender system: AHP and fuzzy AHP approaches
W Wongvilaisakul, P Netinant, M Rukhiran - Sustainability, 2023 - mdpi.com
The optimal management of personal resources impacts everyone's quality of life. An
investment in graduate education is a sustainable opportunity for improved outcomes in …
investment in graduate education is a sustainable opportunity for improved outcomes in …
Attention over self-attention: Intention-aware re-ranking with dynamic transformer encoders for recommendation
Re-ranking models refine item recommendation lists generated by the prior global ranking
model, which have demonstrated their effectiveness in improving the recommendation …
model, which have demonstrated their effectiveness in improving the recommendation …
Disentangling motives behind item consumption and social connection for mutually-enhanced joint prediction
Item consumption and social connection, as common user behaviors in many web
applications, have been extensively studied. However, most current works separately …
applications, have been extensively studied. However, most current works separately …
Recommender systems: A primer
P Castells, D Jannach - arXiv preprint arXiv:2302.02579, 2023 - arxiv.org
Personalized recommendations have become a common feature of modern online services,
including most major e-commerce sites, media platforms and social networks. Today, due to …
including most major e-commerce sites, media platforms and social networks. Today, due to …
Topic-aware intention network for explainable recommendation with knowledge enhancement
Recently, recommender systems based on knowledge graphs (KGs) have become a
popular research direction. Graph neural network (GNN) is the key technology of KG-based …
popular research direction. Graph neural network (GNN) is the key technology of KG-based …
Explainable job-posting recommendations using knowledge graphs and named entity recognition
C Upadhyay, H Abu-Rasheed… - … on Systems, Man, and …, 2021 - ieeexplore.ieee.org
The growth of online job-posting repositories provided job-seekers with access to a large
number of potential jobs. User assessment of recommended jobs becomes especially a …
number of potential jobs. User assessment of recommended jobs becomes especially a …
Denoising Explicit Social Signals for Robust Recommendation
Y Sun - Proceedings of the 17th ACM Conference on …, 2023 - dl.acm.org
Social recommender system assumes that user's preferences can be influenced by their
social connections. However, social networks are inherently noisy and contain redundant …
social connections. However, social networks are inherently noisy and contain redundant …
Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation
Abstract Knowledge graph embedding (KGE) is effectively exploited in providing precise
and accurate recommendations from many perspectives in different application scenarios …
and accurate recommendations from many perspectives in different application scenarios …
LFDNN: A Novel Hybrid Recommendation Model Based on DeepFM and LightGBM
H Han, Y Liang, G Bella, F Giunchiglia, D Li - Entropy, 2023 - mdpi.com
Hybrid recommendation algorithms perform well in improving the accuracy of
recommendation systems. However, in specific applications, they still cannot reach the …
recommendation systems. However, in specific applications, they still cannot reach the …
A survey on knowledge-aware news recommender systems
News consumption has shifted over time from traditional media to online platforms, which
use recommendation algorithms to help users navigate through the large incoming streams …
use recommendation algorithms to help users navigate through the large incoming streams …