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Recommender Systems and Techniques

35 ta ish

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

    Furkat Safarov, Alpamis Kutlimuratov, Akmalbek Abdusalomov +2

    MaqolaOchiq kirishRecommender Systems and TechniquesElectronics202313 iqtibos
    ABI

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

    Alpamis Kutlimuratov, Akmalbek Abdusalomov, Rashid Oteniyazov +2

    MaqolaOchiq kirishRecommender Systems and TechniquesSensors20227 iqtibos
    ABI

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

    Shoh Jakhon Khamdamov, Muhammad Shahbaz, Zokir Mamadiyarov +4

    MaqolaOchiq kirishBig Data and Business Intelligence20244 iqtibos
    ABI

  4. Mathematical Model of Information Exchange through the Educational Platforms

    Khurshid Sultanov, Utkir Khamdamov, Djamshid Sultanov +1

    MaqolaRecommender Systems and Techniques2021 International Conference on Information Science and Communications Technologies (ICISCT)20211 iqtibos
    ABI

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

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

    MaqolaRecommender Systems and TechniquesJournal of Machinery Manufacture and Reliability20241 iqtibos
    ABI

  6. 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

    MaqolaOnline Learning and Analytics20190 iqtibos
    ABI

  7. A Hybrid Aspect Based Latent Factor Model for Recommendation

    Hanning Yuan, Zhengyu Chen, Jingting Yang +3

    MaqolaOchiq kirishRecommender Systems and TechniquesChinese Journal of Electronics20200 iqtibos
    ABI

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

    Andrea Fiandro, Giorgio Crepaldi, Diego Monti +2

    PreprintOchiq kirishPersonal Information Management and User BehaviorarXiv (Cornell University)20200 iqtibos
    ABI

  9. Cluster-driven Graph Federated Learning over Multiple Domains

    Debora Caldarola, Massimiliano Mancini, Fabio Galasso +3

    PreprintOchiq kirishPrivacy-Preserving Technologies in Data20210 iqtibos
    ABI

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

    Doniyorbek Ahmadaliev, Xiaohui Chen, Zhe Zhang +2

    PreprintOchiq kirishOpen Education and E-LearningSSRN Electronic Journal20230 iqtibos
    ABI

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

    Aneesh Pradeep, Zulfiya Muytenbaeva

    Sharh maqolaRecommender Systems and Techniques20230 iqtibos
    ABI

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

    Abdurakhmon Sharifbaev, Mikhail Mozikov, Hakimjon Zaynidinov +1

    MaqolaOchiq kirishAdvanced Graph Neural NetworksIEEE Access20240 iqtibos
    ABI

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

    Khabibulla Madatov, Sapura Sattarova

    MaqolaOchiq kirishEducational and Technological ResearchОбщество и инновации20240 iqtibos
    ABI

  14. EXTENDED USER PROFILING APPROACHES FOR RECOMMENDATION SYSTEMS

    Fayzi Bekkamov, Yashin Sharifov

    MaqolaOchiq kirishRecommender Systems and TechniquesEnvironment Technology Resources Proceedings of the International Scientific and Practical Conference20240 iqtibos
    ABI

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

    Mukhammadjon Mamadiev, Kayathri Devi Devprasad, Naina Chaudhary +3

    MaqolaRecommender Systems and Techniques20240 iqtibos
    ABI

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

    Fayzi Bekkamov, Mumin Babajanov, Mansur Berdimurodov

    MaqolaOchiq kirishRecommender Systems and TechniquesEnvironment Technology Resources Proceedings of the International Scientific and Practical Conference20250 iqtibos
    ABI

  17. Recommendation System For Gaming Preference Analytics

    Shakhzod Mirmuminov

    MaqolaOchiq kirishArtificial Intelligence in GamesAmerican Journal Of Applied Science And Technology20250 iqtibos
    ABI

  18. Advanced Recommender Systems for Personalised E-Commerce

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

    MaqolaRecommender Systems and Techniques20250 iqtibos
    ABI

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

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

    MaqolaRecommender Systems and Techniques20250 iqtibos
    ABI

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

    Abdullah Elkhoudary, Bashar Yaser Almansour, Priya Vij +3

    MaqolaCustomer churn and segmentation20250 iqtibos
    ABI

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

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

    MaqolaRecommender Systems and Techniques20250 iqtibos
    ABI

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

    R. Keerthika, Abduvali Sottarov, Anant Deogaonkar +3

    MaqolaAdvanced Graph Neural Networks20250 iqtibos
    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

    MaqolaRecommender Systems and Techniques20250 iqtibos
    ABI

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

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

    MaqolaRecommender Systems and Techniques20250 iqtibos
    ABI

  25. Dеvеlоpmеnt Оf А Mоdеl Fоr Mоdifying Оnlinе Sеrviсе Plаtfоrms

    Mukhlisa Olimova

    MaqolaOchiq kirishRecommender Systems and Techniques20250 iqtibos
    ABI