Salvatore Orlando

Artificial Intelligence · 2016

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

Subfields

• Artificial Intelligence — 15 citations into it

Whom Salvatore Orlando trusts

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

1. Hugo Zaragoza (in Artificial Intelligence)

Papers from Salvatore Orlando's perspective

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

1. Early exit optimizations for additive machine learned ranking systems
2. The Probabilistic Relevance Framework: BM25 and Beyond
3. Adapting ranking SVM to document retrieval (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
4. A support vector method for optimizing average precision (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
5. Okapi at TREC-3
6. Learning to Rank with Nonsmooth Cost Functions
7. Bagging Predictors
8. Learning with Kernels: support vector machines, regularization, optimization, and beyond
9. Greedy function approximation: A gradient boosting machine.
10. The Anatomy of a Large-Scale Hypertextual Web Search Engine

Their papers

• Quality versus efficiency in document scoring with learning-to-rank models (2016) — 59 citations