6 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.IR2023★ 6 cited
On the Impact of Outlier Bias on User Clicks
Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi +2
User interaction data is an important source of supervision in counterfactual learning to rank (CLTR). Such data suffers from presentation bias. Much work in unbiased learning to r…
cs.IR2020★ 4 cited
A Comparison of Supervised Learning to Match Methods for Product Search
Fatemeh Sarvi, Nikos Voskarides, Lois Mooiman +2
The vocabulary gap is a core challenge in information retrieval (IR). In e-commerce applications like product search, the vocabulary gap is reported to be a bigger challenge than i…