Ashraf Bah Rabiou

2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ashraf Bah Rabiou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kalervo Järvelin
  2. Olivier Chapelle
  3. C. Clarke
  4. Jaana Kekäläinen
  5. Donald Metlzer

Papers from Ashraf Bah Rabiou's perspective

Ordered by how strongly the researchers Ashraf Bah Rabiou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Cumulated gain-based evaluation of IR techniques
  2. Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
  3. Learning to rank using gradient descent
  4. Expected reciprocal rank for graded relevance
  5. Novelty and diversity in information retrieval evaluation (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  6. A taxonomy of web search (SIGF)
  7. The probability ranking principle in IR
  8. A support vector method for optimizing average precision (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  9. Accurately interpreting clickthrough data as implicit feedback
  10. Variations in relevance judgments and the measurement of retrieval effectiveness

Their papers