B. Németh

Most-cited papers

1. Scalable Collaborative Filtering Approaches for Large Recommender Systems

   G. Takács, István Pilászy, B. Németh, D. Tikk

   2009Journal of machine learning research550 citations

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2. Matrix factorization and neighbor based algorithms for the netflix prize problem

   G. Takács, István Pilászy, B. Németh, D. Tikk

   2008ACM Conference on Recommender Systems197 citations

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3. Major components of the gravity recommendation system

   G. Takács, István Pilászy, B. Németh, D. Tikk

   2007SKDD154 citations

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4. Improved Recognition of Spontaneous Hungarian Speech—Morphological and Acoustic Modeling Techniques for a Less Resourced Task

   P. Mihajlik, Zoltán Tüske, Balázs Tarján, B. Németh +1 more

   2010IEEE Transactions on Audio, Speech, and Language Processing46 citations

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5. A unified approach of factor models and neighbor based methods for large recommender systems

   G. Takács, István Pilászy, B. Németh, D. Tikk

   2008International Conference on Applications of Digital Information and Web Technologies22 citations

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6. Towards Automatic Transcription of Large Spoken Archives in Agglutinating Languages - Hungarian ASR for the MALACH Project

   P. Mihajlik, T. Fegyó, B. Németh, Zoltán Tüske +1 more

   2007International Conference on Text, Speech and Dialogue15 citations

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7. Predicting user action from skin conductance

   László Laufer, B. Németh

   2008International Conference on Intelligent User Interfaces14 citations

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8. Visualization of movie features in collaborative filtering

   B. Németh, G. Takács, István Pilászy, D. Tikk

   2013New Trends in Software Methodologies, Tools and Techniques13 citations

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9. Measurement‐based fuzzy interpolation of room impulse responses

   C. Huszty, B. Németh, P. Baranyi, F. Augusztinovicz

   20087 citations

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10. Your skin knows when you will jump

    László Laufer, B. Németh

    2007European Conference on Cognitive Ergonomics2 citations

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11. How do I Know What You Like ? The Ways of Collaborative Filtering

    B. Németh

    20062 citations

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12. Netflix Prize revisited: a hard problem even after 20 years

    G. Takács, István Pilászy, B. Németh, Balázs Hidasi +2 more

    2026Proceedings of the Workshop on the ACM RecSys Challenge0 citations Open access

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13. Scaling Up Recommendation Services in Many Dimensions

    B. Németh

    2015ACM Conference on Recommender Systems0 citations

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14. AusDM 2009 Analytic Challenge The Challenge

    Auc Area, Area, G. Takács, István Pilászy +39 more

    20090 citations

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