Gy¨orgy Szarvas

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it
• Information Retrieval & Search — 5 citations into it

Whom Gy¨orgy Szarvas trusts overall

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

1. Stephen E. Robertson
2. Jun Xu

Who trusts Gy¨orgy Szarvas overall

1. Yongsu Ahn

Papers from Gy¨orgy Szarvas's perspective

Ordered by how strongly the researchers Gy¨orgy Szarvas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning to rank using gradient descent
2. AdaRank: a boosting algorithm for information retrieval (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
3. The Probabilistic Relevance Framework: BM25 and Beyond
4. Statistical Analysis of Bayes Optimal Subset Ranking
5. Large margin rank boundaries for ordinal regression
6. Linear feature-based models for information retrieval
7. The Anatomy of a Large-Scale Hypertextual Web Search Engine
8. IR evaluation methods for retrieving highly relevant documents
9. Authoritative sources in a hyperlinked environment
10. Long Short-Term Memory

Their papers

• An apple-to-apple comparison of Learning-to-rank algorithms in terms of Normalized Discounted Cumulative Gain (2012) — 41 citations