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7 works

Work: Matrix Factorization Techniques for Recommender Systems

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

    Furkat Safarov, Alpamis Kutlimuratov, Akmalbek Abdusalomov +2

    ArticleRecommender Systems and TechniquesElectronics202312 citations
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  2. Modeling and Applying Implicit Dormant Features for Recommendation via Clustering and Deep Factorization

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    ArticleRecommender Systems and TechniquesSensors20227 citations
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  3. Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion

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    PreprintPersonal Information Management and User BehaviorarXiv (Cornell University)20200 citations
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  4. Machine Learning for Predictive Analytics in Social Media Data

    Madini O. Alassafi, Wajdi Alghamdi, S. Sathiya Naveena +3

    ArticleSentiment Analysis and Opinion MiningE3S Web of Conferences20230 citations
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  5. Advanced Recommender Systems for Personalised E-Commerce

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

    ArticleRecommender Systems and Techniques20250 citations
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  6. A Recommendation Framework Based on Three Stages for Social Network

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

    ArticleRecommender Systems and Techniques20250 citations
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  7. The Algorithm for Intelligent Analysis of Soil Composition Data Based on Filling NaN Values Using Matrix Factorization Method for Artificial Intelligence Models

    Fayzullo Nazarov, Abror Akhatov, Gozal Buribayevna Absalamova +1

    ArticleStatistical and Computational Modeling20250 citations
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