D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 38 Citations 25,425 91 World Ranking 4971 National Ranking 2445

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Machine learning

His scientific interests lie mostly in Recommender system, Data mining, Personalization, Collaborative filtering and Profiling. His work in the fields of Slope One and MovieLens overlaps with other areas such as Contextual information. His Data mining research includes elements of Ranking and Data science.

In general Collaborative filtering, his work in Cold start is often linked to Class, Context model and Content analysis linking many areas of study. The concepts of his Profiling study are interwoven with issues in User profile and One-to-one. His research in the fields of Recommendation quality overlaps with other disciplines such as Multi criteria.

His most cited work include:

  • Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions (7869 citations)
  • Context-Aware Recommender Systems (1238 citations)
  • Incorporating contextual information in recommender systems using a multidimensional approach (1034 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Recommender system, Data mining, World Wide Web, Artificial intelligence and Machine learning. His work in the fields of Recommender system, such as Collaborative filtering, intersects with other areas such as Contextual information. Gediminas Adomavicius combines Collaborative filtering and Diversity in his studies.

His Data mining research incorporates elements of Scalability and Cluster analysis. His work on Random forest as part of general Artificial intelligence study is frequently linked to Property, therefore connecting diverse disciplines of science. The various areas that he examines in his Preference study include Behavioral economics, Human–computer interaction and Willingness to pay.

He most often published in these fields:

  • Recommender system (43.98%)
  • Data mining (22.29%)
  • World Wide Web (15.66%)

What were the highlights of his more recent work (between 2018-2021)?

  • Recommender system (43.98%)
  • Artificial intelligence (12.65%)
  • Machine learning (12.65%)

In recent papers he was focusing on the following fields of study:

Gediminas Adomavicius focuses on Recommender system, Artificial intelligence, Machine learning, Consumption and Data science. His Recommender system study is concerned with the field of Information retrieval as a whole. Gediminas Adomavicius interconnects Covariate and Instrumental variable in the investigation of issues within Artificial intelligence.

His Machine learning research includes themes of Tree, Reliability and Causal inference. The various areas that he examines in his Data science study include Resolution and Dimension. His Personalization study deals with Information access intersecting with Knowledge management, The Internet and User experience design.

Between 2018 and 2021, his most popular works were:

  • Beyond Personalization: Research Directions in Multistakeholder Recommendation. (37 citations)
  • Multistakeholder recommendation: Survey and research directions (34 citations)
  • Understanding User-Generated Content and Customer Engagement on Facebook Business Pages (13 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

G. Adomavicius;A. Tuzhilin.
IEEE Transactions on Knowledge and Data Engineering (2005)

12637 Citations

Context-Aware Recommender Systems

Gediminas Adomavicius;Bamshad Mobasher;Francesco Ricci;Alexander Tuzhilin.
Ai Magazine (2011)

2620 Citations

Incorporating contextual information in recommender systems using a multidimensional approach

Gediminas Adomavicius;Ramesh Sankaranarayanan;Shahana Sen;Alexander Tuzhilin.
ACM Transactions on Information Systems (2005)

1580 Citations

System and method for dynamic profiling of users in one-to-one applications

Alexander S. Tuzhilin;Gediminas Adomavicius.
(1997)

1058 Citations

Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques

G. Adomavicius;YoungOk Kwon.
IEEE Transactions on Knowledge and Data Engineering (2012)

634 Citations

New Recommendation Techniques for Multicriteria Rating Systems

G. Adomavicius;YoungOk Kwon.
IEEE Intelligent Systems (2007)

561 Citations

Personalization technologies: a process-oriented perspective

Gediminas Adomavicius;Alexander Tuzhilin.
Communications of The ACM (2005)

496 Citations

Using data mining methods to build customer profiles

G. Adomavicius;A. Tuzhilin.
IEEE Computer (2001)

415 Citations

Multi-Criteria Recommender Systems

Gediminas Adomavicius;YoungOk Kwon.
Springer US (2015)

335 Citations

Context-aware recommender systems

Gediminas Adomavicius;Alexander Tuzhilin.
conference on recommender systems (2008)

318 Citations

Best Scientists Citing Gediminas Adomavicius

Francesco Ricci

Francesco Ricci

Free University of Bozen-Bolzano

Publications: 75

Michael J. Aftosmis

Michael J. Aftosmis

Ames Research Center

Publications: 62

Dietmar Jannach

Dietmar Jannach

University of Klagenfurt

Publications: 61

Robin Burke

Robin Burke

University of Colorado Boulder

Publications: 52

Alexander Tuzhilin

Alexander Tuzhilin

New York University

Publications: 52

Bamshad Mobasher

Bamshad Mobasher

DePaul University

Publications: 46

Pablo Castells

Pablo Castells

Autonomous University of Madrid

Publications: 40

Xing Xie

Xing Xie

Microsoft (United States)

Publications: 40

Xin Luo

Xin Luo

Chinese Academy of Sciences

Publications: 38

Tao Zhou

Tao Zhou

University of Electronic Science and Technology of China

Publications: 38

Iván Cantador

Iván Cantador

Autonomous University of Madrid

Publications: 37

Jie Lu

Jie Lu

University of Technology Sydney

Publications: 37

Li Chen

Li Chen

Hong Kong Baptist University

Publications: 32

Yi-Cheng Zhang

Yi-Cheng Zhang

University of Fribourg

Publications: 28

Hui Xiong

Hui Xiong

Rutgers, The State University of New Jersey

Publications: 27

Alexander Felfernig

Alexander Felfernig

Graz University of Technology

Publications: 26

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.