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D-Index & Metrics

Computer Science

D-Index
38
Citations
8663
World Ranking
10038
National Ranking
8

Overview

Domonkos Tikk is affiliated with Gravity Research & Development Zrt. in Hungary. Their research centers on topics within computer science, focusing primarily on information systems, artificial intelligence, and computer vision and pattern recognition.

Their research covers several main topics, including:

  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Image Retrieval and Classification Techniques

Among the recent publications, Domonkos Tikk co-authored a paper titled Initializing Matrix Factorization Methods on Implicit Feedback Databases in 2020. This work was published through the TUGraz OPEN Library at Graz University of Technology and has been cited eleven times.

Their frequent co-author is Balázs Hidasi, with whom they have collaborated on at least one publication.

Their work is primarily disseminated in venues such as:

  • TUGraz OPEN Library (Graz University of Technology)

Tikk's research contributions span multiple subfields within computer science, including information systems, artificial intelligence, and computer vision and pattern recognition. These areas suggest a focus on developing methods and systems that involve machine learning, data analysis, and visual data interpretation.

Best Publications

  • Session-based Recommendations with Recurrent Neural Networks

    Balázs Hidasi;Alexandros Karatzoglou;Linas Baltrunas;Domonkos Tikk

  • Recurrent neural networks

    Stephen Grossberg

  • Scalable Collaborative Filtering Approaches for Large Recommender Systems

    Gábor Takács;István Pilászy;Bottyán Németh;Domonkos Tikk

  • Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations

    Balázs Hidasi;Massimo Quadrana;Alexandros Karatzoglou;Domonkos Tikk

  • Major components of the gravity recommendation system

    Gábor Takács;István Pilászy;Bottyán Németh;Domonkos Tikk

  • Alternating least squares for personalized ranking

    Gábor Takács;Domonkos Tikk

  • Fast als-based matrix factorization for explicit and implicit feedback datasets

    István Pilászy;Dávid Zibriczky;Domonkos Tikk

  • KDD Cup and workshop 2007

    James Bennett;Charles Elkan;Bing Liu;Padhraic Smyth

  • Matrix factorization and neighbor based algorithms for the netflix prize problem

    Gábor Takács;István Pilászy;Bottyán Németh;Domonkos Tikk

  • A Comprehensive Benchmark of Kernel Methods to Extract Protein–Protein Interactions from Literature

    Domonkos Tikk;Philippe E. Thomas;Peter Palaga;Jörg Hakenberg

  • Comprehensive analysis of a new fuzzy rule interpolation method

    D. Tikk;P. Baranyi

  • Investigation of various matrix factorization methods for large recommender systems

    Gábor Takács;István Pilászy;Bottyán Németh;Domonkos Tikk

  • From differential equations to PDC controller design via numerical transformation

    Péter Baranyi;Domonkos Tikk;Yeung Yam;Ron J. Patton

  • Recommending new movies: even a few ratings are more valuable than metadata

    István Pilászy;Domonkos Tikk

  • Fuzzy rule interpolation for multidimensional input spaces with applications: a case study

    Kok Wai Wong;D. Tikk;T.D. Gedeon;L.T. Koczy

  • Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback

    Balázs Hidasi;Domonkos Tikk

  • A survey on universal approximation and its limits in soft computing techniques

    Domonkos Tikk;László T. Kóczy;Tamás D. Gedeon

  • Proceedings of the 1st Workshop on Deep Learning for Recommender Systems

    Alexandros Karatzoglou;Balázs Hidasi;Domonkos Tikk;Oren Sar-Shalom

  • Stability of interpolative fuzzy KH controllers

    Domonkos Tikk;István Joó;László T. Kóczy;Péter Várlaki

  • General factorization framework for context-aware recommendations

    Balázs Hidasi;Domonkos Tikk

  • Fuzzy Rule Interpolation Matlab Toolbox - FRI Toolbox

    Z.C. Johanyak;D. Tikk;S. Kovacs;Kok Wai Wong

  • Simple tricks for improving pattern-based information extraction from the biomedical literature

    Quang Long Nguyen;Domonkos Tikk;Domonkos Tikk;Ulf Leser

Frequent Co-Authors

Ulf Leser
Ulf Leser Humboldt-Universität zu Berlin
Ron J. Patton
Ron J. Patton University of Hull
Paolo Cremonesi
Paolo Cremonesi Polytechnic University of Milan
Alexandros Karatzoglou
Alexandros Karatzoglou Google (United States)
Martha Larson
Martha Larson Radboud University
Bracha Shapira
Bracha Shapira Ben-Gurion University of the Negev
Pablo Castells
Pablo Castells Autonomous University of Madrid
Charles Elkan
Charles Elkan University of California, San Diego
Padhraic Smyth
Padhraic Smyth University of California, Irvine
Lior Rokach
Lior Rokach Ben-Gurion University of the Negev

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