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Recommender Systems and Techniques

35 та иш

  1. Deep Learning Recommendations of E-Education Based on Clustering and Sequence

    Furkat Safarov, Alpamis Kutlimuratov, Akmalbek Abdusalomov +2

    МақолаRecommender Systems and TechniquesElectronics202312 иқтибос
    ABI

  2. Modeling and Applying Implicit Dormant Features for Recommendation via Clustering and Deep Factorization

    Alpamis Kutlimuratov, Akmalbek Abdusalomov, Rashid Oteniyazov +2

    МақолаRecommender Systems and TechniquesSensors20227 иқтибос
    ABI

  3. Mathematical Model of Information Exchange through the Educational Platforms

    Khurshid Sultanov, Utkir Khamdamov, Djamshid Sultanov +1

    МақолаRecommender Systems and Techniques2021 International Conference on Information Science and Communications Technologies (ICISCT)20211 иқтибос
    ABI

  4. Increasing the Effectiveness of Personalized Recommender Systems Based on the Integrated GNN-RL Model

    Abdurakhmon Sharifbaev, H. N. Zainidinov, I. V. Kovalev +2

    МақолаRecommender Systems and TechniquesJournal of Machinery Manufacture and Reliability20241 иқтибос
    ABI

  5. An adaptive activity sequencing instrument to enhance e-learning: an integrated application of overlay user model and mathematical programming on the Web

    Doniyorbek Ahmadaliev, Chen Xiaohui, Murodjon Abduvohidov +2

    МақолаOnline Learning and Analytics20190 иқтибос
    ABI

  6. A Hybrid Aspect Based Latent Factor Model for Recommendation

    Hanning Yuan, Zhengyu Chen, Jingting Yang +3

    МақолаRecommender Systems and TechniquesChinese Journal of Electronics20200 иқтибос
    ABI

  7. Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion

    Andrea Fiandro, Giorgio Crepaldi, Diego Monti +2

    ПрепринтPersonal Information Management and User BehaviorarXiv (Cornell University)20200 иқтибос
    ABI

  8. Cluster-driven Graph Federated Learning over Multiple Domains

    Debora Caldarola, Massimiliano Mancini, Fabio Galasso +3

    ПрепринтPrivacy-Preserving Technologies in Data20210 иқтибос
    ABI

  9. Adaptive User Generated Content Based on Integration of Learner Characteristics

    Doniyorbek Ahmadaliev, Xiaohui Chen, Zhe Zhang +2

    ПрепринтOpen Education and E-LearningSSRN Electronic Journal20230 иқтибос
    ABI

  10. A Critical Review of the Applications of Artificial Intelligence in Recommender Systems

    Aneesh Pradeep, Zulfiya Muytenbaeva

    Шарҳ мақолаRecommender Systems and Techniques20230 иқтибос
    ABI

  11. Efficient Integration of Reinforcement Learning in Graph Neural Networks-Based Recommender Systems

    Abdurakhmon Sharifbaev, Mikhail Mozikov, Hakimjon Zaynidinov +1

    МақолаAdvanced Graph Neural NetworksIEEE Access20240 иқтибос
    ABI

  12. Using the Jaccard similarity method for recommendation system of books

    Khabibulla Madatov, Sapura Sattarova

    МақолаEducational and Technological ResearchОбщество и инновации20240 иқтибос
    ABI

  13. The Impact of AI and Machine Learning on E commerce Personalization

    Shoh Jakhon Khamdamov, Muhammad Shahbaz, Zоkir Mamadiyarоv +4

    МақолаBig Data and Business Intelligence20240 иқтибос
    ABI

  14. EXTENDED USER PROFILING APPROACHES FOR RECOMMENDATION SYSTEMS

    Fayzi Bekkamov, Yashin Sharifov

    МақолаRecommender Systems and TechniquesEnvironment Technology Resources Proceedings of the International Scientific and Practical Conference20240 иқтибос
    ABI

  15. Unifinder: A University Recommender System Enabled with EDAS - A Multi-Criteria Decision Making Model

    Mukhammadjon Mamadiev, Kayathri Devi Devprasad, Naina Chaudhary +3

    МақолаRecommender Systems and Techniques20240 иқтибос
    ABI

  16. USING BAYESIAN METHODS TO PREDICT USERS’ INFORMATION NEEDS IN A DIGITAL LIBRARY

    Fayzi Bekkamov, Mumin Babajanov, Mansur Berdimurodov

    МақолаRecommender Systems and TechniquesEnvironment Technology Resources Proceedings of the International Scientific and Practical Conference20250 иқтибос
    ABI

  17. Recommendation System For Gaming Preference Analytics

    Shakhzod Mirmuminov

    МақолаArtificial Intelligence in GamesAmerican Journal Of Applied Science And Technology20250 иқтибос
    ABI

  18. Advanced Recommender Systems for Personalised E-Commerce

    Dilip Prakash Valanarasu, Shiva Kumar Ramavath, Amit Ojha +2

    МақолаRecommender Systems and Techniques20250 иқтибос
    ABI

  19. Tensor Factorization Approach for Real-Time Personalized Content Recommendation in OTT Platforms

    S.J. Mohamed, Tholfiqar Z. Ismail, Kamila Kenjaeva +3

    МақолаRecommender Systems and Techniques20250 иқтибос
    ABI

  20. LightGBM for Customer Churn Prediction in Subscription-Based Services

    Abdullah Elkhoudary, Bashar Yaser Almansour, Priya Vij +3

    МақолаCustomer churn and segmentation20250 иқтибос
    ABI

  21. Edge AI for Ultra-Fast Personalized Recommendation Systems in E-Commerce

    D. Sheyam Sundar, Lalit Kumar Tyagi, S. Kannimuthu +3

    МақолаRecommender Systems and Techniques20250 иқтибос
    ABI

  22. Graph neural networks for recommendation systems: A survey and future directions

    R. Keerthika, Abduvali Sottarov, Anant Deogaonkar +3

    МақолаAdvanced Graph Neural Networks20250 иқтибос
    ABI

  23. Cross-Domain Transfer Learning Framework for Personalized Recommendation Systems Leveraging Heterogeneous Big Data Streams

    Joel Osei-Asiamah, Malik Bader Alazzam, Ajmeera Kiran +3

    МақолаRecommender Systems and Techniques20250 иқтибос
    ABI

  24. A Recommendation Framework Based on Three Stages for Social Network

    Muhammad Shahrukh Khan, Mughair Aslam Bhatti, Dilmurod Turaev +5

    МақолаRecommender Systems and Techniques20250 иқтибос
    ABI

  25. Dеvеlоpmеnt Оf А Mоdеl Fоr Mоdifying Оnlinе Sеrviсе Plаtfоrms

    Mukhlisa Olimova

    МақолаRecommender Systems and Techniques20250 иқтибос
    ABI