Recommender systems in smart campus: a systematic map**
M Hideki Mensch Maruyama, L Willig Silveira… - … and Information Systems, 2024 - Springer
Recommender systems are extremely useful tools to provide the user with information that
may be of interest. These systems are responsible for performing a series of procedures to …
may be of interest. These systems are responsible for performing a series of procedures to …
[HTML][HTML] Online Purchase Behavior Prediction Model Based on Recurrent Neural Network and Naive Bayes
C Zhang, J Liu, S Zhang - Journal of Theoretical and Applied Electronic …, 2024 - mdpi.com
In the current competition process of e-commerce platforms, the technical and algorithmic
wars that can quickly grasp user needs and accurately recommend target commodities are …
wars that can quickly grasp user needs and accurately recommend target commodities are …
Enhancing Customer Loyalty in E-Commerce: The Role of Personalization Recommendation Systems and Flow State
M Lin, Y Jeong, Y Zhang, Z Liu - Journal of The Korea Society of …, 2024 - koreascience.kr
This study investigates the impact of personalization recommendation systems on customer
loyalty in e-commerce, focusing on the role of information presentation, system interaction …
loyalty in e-commerce, focusing on the role of information presentation, system interaction …
Mixed-Based Approach for an Intelligent E-Commerce Recommender System
S Jusoh, GQ Ng - 2024 16th International Conference on …, 2024 - ieeexplore.ieee.org
Content-based recommender systems and collaborative filtering recommender systems
might be useful in recommending items that might be preferred by users based on their …
might be useful in recommending items that might be preferred by users based on their …
Aegis: Post-Training Attribute Unlearning in Federated Recommender Systems against Attribute Inference Attacks
As privacy concerns in recommender systems become increasingly prominent, federated
recommender systems (FedRecs) have emerged as a promising distributed training …
recommender systems (FedRecs) have emerged as a promising distributed training …
Research on Hybrid Collaborative Filtering Hotel Recommendation Algorithm Based on Online Reviews and Ratings
E Wang, D Li - … on Cyber-Physical Social Intelligence (ICCSI), 2024 - ieeexplore.ieee.org
In addressing the challenges of information overload and the filter bubble in online hotel
reservations, this paper proposes a hybrid collaborative filtering recommendation algorithm …
reservations, this paper proposes a hybrid collaborative filtering recommendation algorithm …
Perbandingan Metode Content-based, Collaborative dan Hybrid Filtering pada Sistem Rekomendasi Lagu
KR PUTRA, MA RACHMAN - MIND (Multimedia Artificial …, 2024 - ejurnal.itenas.ac.id
Sistem rekomendasi dapat dimanfaatkan untuk membantu pengguna menemukan item atau
informasi sesuai preferensi mereka, termasuk lagu. Metode seperti Collaborative Filtering …
informasi sesuai preferensi mereka, termasuk lagu. Metode seperti Collaborative Filtering …
[PDF][PDF] E-Learning mit KI-Chatbot: Arbeits-und sozialrechtliche Integration für EU-Zugewanderte in den sozialen Medien
R Lehmann, J Albrecht, S Emmert, LLM Eur, M Bradl… - minor-digital.de
Die Migration von Staatsangehörigen anderer EU-Staaten nach Deutschland stellt seit
Jahren eine der wichtigsten Zuwanderungsbewegungen nach Deutschland und eine der …
Jahren eine der wichtigsten Zuwanderungsbewegungen nach Deutschland und eine der …