Falk Scholer

Artificial Intelligence · 2006–2021

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #22,650 of 35,345 by trust here, #28,481 by citations
• Information Systems — 24 citations into it; #1,030 of 8,771 by trust here, #2,821 by citations
• Information Retrieval & Search — 17 citations into it; #673 of 1,022 by trust here, #916 by citations
• Evaluation & Benchmarks — 12 citations into it; #1,638 of 3,147 by trust here, #2,903 by citations

Whom Falk Scholer trusts overall

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

1. Ellen M. Voorhees
2. Anastasios Tombros
3. James Allan
4. Justin Zobel
5. Mark Sanderson

Who trusts Falk Scholer overall

1. Xiangyu Zhao
2. Mark Sanderson
3. Shlomo Geva
4. Kevin Roitero
5. Diane Kelly
6. Jun Wang
7. L. Zhang
8. Zibin Zheng
9. Jiang Wang
10. Tetsuya Sakai

Papers from Falk Scholer's perspective

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

1. Retrieval evaluation with incomplete information
2. Cumulated gain-based evaluation of IR techniques
3. Variations in relevance judgments and the measurement of retrieval effectiveness
4. The Philosophy of Information Retrieval Evaluation
5. How reliable are the results of large-scale information retrieval experiments?
6. Learning to rank using gradient descent
7. A taxonomy of web search (SIGF)
8. Accurately interpreting clickthrough data as implicit feedback
9. When will information retrieval be "good enough"?
10. Do batch and user evaluations give the same results?

Their papers

• Answer Interaction in Non-factoid Question Answering Systems (2019) — 24 citations
• On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation (2021) — 24 citations
• On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation (2017) — 96 citations
• User performance versus precision measures for simple search tasks (2006) — 444 citations