Kgflex: Efficient recommendation with sparse feature factorization and knowledge graphs
Collaborative filtering models have undoubtedly dominated the scene of recommender
systems in recent years. However, due to the little use of content information, they narrowly …
systems in recent years. However, due to the little use of content information, they narrowly …
Accuracy-diversity optimization in personalized recommender system via trajectory reinforcement based bacterial colony optimization
Personalized recommender systems have been extensively studied in human-centered
intelligent systems. Existing recommendation techniques have achieved comparable …
intelligent systems. Existing recommendation techniques have achieved comparable …
An improved autoencoder for recommendation to alleviate the vanishing gradient problem
In the recommendation domain, user rating data has high sparsity and the number of
interaction information from each user is very uneven, which brings great technical …
interaction information from each user is very uneven, which brings great technical …
AT-GCN: A DDoS attack path tracing system based on attack traceability knowledge base and GCN
The rapid development of the Internet provides sufficient attack entrances for massive
malicious terminals, which makes it extremely challenging to effectively trace the path of …
malicious terminals, which makes it extremely challenging to effectively trace the path of …
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 …
Challenges and issues analysis in cold start recommendation system
SN Hasan, R Khatwal - AIP Conference Proceedings, 2023 - pubs.aip.org
Users frequently receive recommendations from recommender systems based on their taste,
need and/or preferences. Recommender systems have shown to be an effective technique …
need and/or preferences. Recommender systems have shown to be an effective technique …
Taxi Pick-Up Area Recommendation via Integrating Spatio-Temporal Contexts into XDeepFM
D Zhang, Y Liu, X Wang, Z Liao, Y Zhao - CCF Conference on Computer …, 2021 - Springer
Taxi pick-up area recommendation based on GPS data can effectively improve efficiency
and reduce fuel consumption. Most of the methods use the long-term GPS data, which …
and reduce fuel consumption. Most of the methods use the long-term GPS data, which …