Azin Ashkan

Information Systems · 2008–2015

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 16 citations into it; #7,073 of 8,771 by trust here, #2,912 by citations

Whom Azin Ashkan trusts overall

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

1. Fan Guo

Who trusts Azin Ashkan overall

1. Donna K. Harman
2. Mark Sanderson
3. Tor Lattimore
4. Csaba Szepesvari

Papers from Azin Ashkan's perspective

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

1. The probability ranking principle in IR
2. A taxonomy of web search (SIGF)
3. Predicting clicks: estimating the click-through rate for new ads (The Web Conference)
4. Learning user interaction models for predicting web search result preferences (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
5. Learning to rank using gradient descent
6. Accurately interpreting clickthrough data as implicit feedback
7. An experimental comparison of click position-bias models
8. Cumulated gain-based evaluation of IR techniques
9. Efficient multiple-click models in web search
10. Beyond independent relevance: methods and evaluation metrics for subtopic retrieval

Their papers

• Novelty and diversity in information retrieval evaluation (2008) — 1,088 citations
• Cascading Bandits: Learning to Rank in the Cascade Model (2015) — 304 citations