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researcher

Eric McCord-Snook

2 papers hereh-index 274 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

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  • cs.IR2

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most citedVariance Reduction in Gradient Exploration for Online Learning to Rank

30 citations · 56 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2019★ 30 cited

Variance Reduction in Gradient Exploration for Online Learning to Rank

Huazheng Wang, Sonwoo Kim, Eric McCord-Snook +2

Online Learning to Rank (OL2R) algorithms learn from implicit user feedback on the fly. The key of such algorithms is an unbiased estimation of gradients, which is often (trivially…

cs.IR2018★ 26 cited

Efficient Exploration of Gradient Space for Online Learning to Rank

Huazheng Wang, Ramsey Langley, Sonwoo Kim +2

Online learning to rank (OL2R) optimizes the utility of returned search results based on implicit feedback gathered directly from users. To improve the estimates, OL2R algorithms e…

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