Trepo - Selaus tekijän mukaan "Pitoura, Evaggelia"

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    • FairER: Entity Resolution with Fairness Constraints 

      Efthymiou, Vasilis; Stefanidis, Kostas; Pitoura, Evaggelia; Christophides, Vassilis
      ACM International Conference on Information & Knowledge Management (26.10.2021)
      conference
      <p>There is an urgent call to detect and prevent "biased data"at the earliest possible stage of the data pipelines used to build automated decision-making systems. In this paper, we are focusing on controlling ...

    • Fairness in rankings and recommendations: an overview 

      Pitoura, Evaggelia; Stefanidis, Kostas; Koutrika, Georgia (2021)
      article
      We increasingly depend on a variety of data-driven algorithmic systems to assist us in many aspects of life. Search engines and recommender systems among others are used as sources of information and to help us in making ...

    • Fairness in Rankings and Recommenders 

      Pitoura, Evaggelia; Koutrika, Georgia; Stefanidis, Konstantinos
      Advances in database technology (2020)
      conference

    • Fairness in rankings and recommenders: Models, methods and research directions 

      Pitoura, Evaggelia; Stefanidis, Kostas; Koutrika, Georgia
      Proceedings - International Conference on Data Engineering (04 / 2021)
      conference
      <p>We increasingly depend on a variety of data-driven algorithmic systems to assist us in many aspects of life. Search engines and recommendation systems amongst others are used as sources of information and to help ...

    • Fairness-Aware Methods in Rankings and Recommenders 

      Pitoura, Evaggelia; Stefanidis, Kostas; Koutrika, Georgia
      IEEE International Conference on Mobile Data Management (2021)
      conference
      <p>We increasingly depend on a variety of data-driven algorithmic systems to assist us in many aspects of life. Search engines and recommender systems amongst others are used as sources of information and to help us ...

    • Sequential group recommendations based on satisfaction and disagreement scores 

      Stratigi, Maria; Pitoura, Evaggelia; Nummenmaa, Jyrki; Stefanidis, Kostas (14.07.2021)
      article
      <p>Recently, group recommendations have gained much attention. Nevertheless, most approaches consider only one round of recommendations. However, in a real-life scenario, it is expected that the history of previous ...

    • SQUIRREL: A framework for sequential group recommendations through reinforcement learning 

      Stratigi, Maria; Pitoura, Evaggelia; Stefanidis, Kostas (02 / 2022)
      article
      Nowadays, sequential recommendations are becoming more prevalent. A user expects the system to remember past interactions and not conduct each recommendation round as a stand-alone process. Additionally, group recommendation ...

    • Structural Bias in Knowledge Graphs for the Entity Alignment Task 

      Fanourakis, Nikolaos; Efthymiou, Vasilis; Christophides, Vassilis; Kotzinos, Dimitris; Pitoura, Evaggelia; Stefanidis, Kostas
      Lecture Notes in Computer Science (2023)
      conference
      <p>Knowledge Graphs (KGs) have recently gained attention for representing knowledge about a particular domain and play a central role in a multitude of AI tasks like recommendations and query answering. Recent works ...

    • TREATS: Fairness-aware entity resolution over streaming data 

      Brasileiro Araújo, Tiago; Efthymiou, Vasilis; Christophides, Vassilis; Pitoura, Evaggelia; Stefanidis, Kostas (12.03.2024)
      article
      Currently, the growing proliferation of information systems generates large volumes of data continuously, stemming from a variety of sources such as web platforms, social networks, and multiple devices. These data, often ...