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akaturk Akademik ölçüm

OpenAlex konusu

Expert finding and Q&A systems

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 153 eser 2 yazar konusu

Çalışmalar

153 eser

  1. OpenAlex üst %10 OpenAlex 96.5%

    The model of descriptive, diagnostic, predictive, and prescriptive analytics on 100 top-cited articles of nasopharyngeal carcinoma from 2013 to 2022: Bibliometric analysis,

  2. OpenAlex üst %10 OpenAlex 98.9%

    The 2nd SIGIR Workshop on Crowdsourcing for Information Retrieval (CIR 2011) was held on July 28, 2011 in Beijing, China, in conjunction with the 34th Annual ACM SIGIR Conference1. The workshop brought together researchers and practitioners to disseminate recent advances in theory, empirical methods, and novel applica…

  3. OpenAlex üst %10 OpenAlex 98.8%

    Özet henüz yok.

  4. OpenAlex üst %1 OpenAlex 99.4%

    The Crowdsourcing for Search Evaluation Workshop (CSE 2010) was held on July 23, 2010 in Geneva, Switzerland, in conjunction with the 33rd Annual ACM SIGIR Conference. The workshop addressed the latest advances in theory and empirical methods in crowdsourcing for search evaluation, as well as novel applications of cro…

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  6. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 97.9%

    The aim of this study is the computerization of the argument Delphi method. The Delphi method is mainly designed for qualitative prediction within a group of experts, where the experts make predictions and a facilitator controls these predictions until the experts end up with a level of consensus. Argument Delphi, as…

  7. OpenAlex üst %10 OpenAlex 96.3%

    Özet henüz yok.

  8. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 96.3%

    Özet henüz yok.

  9. OpenAlex 77.2%

    People's tendency to overly rely on prior information has been well studied in psychology in the context of anchoring and adjustment. Anchoring biases pervade many aspects of human behavior. In this paper, we present a study of anchoring bias in information retrieval~(IR) settings. We provide strong evidence of anchor…

  10. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 96.2%

    When collecting item ratings from human judges, it can be difficult to measure and enforce data quality due to task subjectivity and lack of transparency into how judges make each rating decision. To address this, we investigate asking judges to provide a specific form of rationale supporting each rating decision. We…

  11. YÖKSİS SJR Q2 JCR Q4 OpenAlex üst %10 OpenAlex 99.0%

    Purpose Expert Cloud as a new class of cloud systems enables its users to request and share the skill, knowledge and expertise of people by employing internet infrastructures and cloud concepts. Since offering the most appropriate expertise to the customer is one of the clear objectives in Expert Cloud, colleague reco…

  12. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 93.7%

    Özet henüz yok.

Akademisyenler

2 akademisyen