AOL-4FOLTR

Emerging

1papers using it

2025first seen

AOL-4FOLTR is a large-scale web search dataset containing 2.6 million queries from 10,000 users, used to evaluate Federated Online Learning to Rank by providing real user identifiers, click data, and query timestamps for realistic modeling of user behavior and asynchronous learning scenarios.

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Papers using AOL-4FOLTR (1)

A Large-Scale Web Search Dataset for Federated Online Learning to Rank2025