Work

Ranked bandits in metric spaces: learning diverse rankings over large document collections

Year: 2013

Type: article

Authors: Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi

Institutions: Microsoft (United States), Microsoft Research (United Kingdom)

Language: English

Topic: Advanced Bandit Algorithms Research

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W2117600734

FWCI: 9.563

Cites: 54

Cited by: 63

Related to: 10