2 citations · 4 across the 7 of their papers we have counts for
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cs.IR2023
Position Bias Estimation with Item Embedding for Sparse Dataset
Shion Ishikawa, Yun Ching Liu, Young-Joo Chung +1
Estimating position bias is a well-known challenge in Learning to Rank (L2R). Click data in e-commerce applications, such as targeted advertisements and search engines, provides im…
cs.IR2023★ 2 cited
Exploring 360-Degree View of Customers for Lookalike Modeling
Md Mostafizur Rahman, Daisuke Kikuta, Satyen Abrol +5
Lookalike models are based on the assumption that user similarity plays an important role towards product selling and enhancing the existing advertising campaigns from a very large…