48 citations · 116 across the 13 of their papers we have counts for
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cs.IR2021★ 48 cited
Cross-Market Product Recommendation
Hamed Bonab, Mohammad Aliannejadi, Ali Vardasbi +2
We study the problem of recommending relevant products to users in relatively resource-scarce markets by leveraging data from similar, richer in resource auxiliary markets. We hypo…
cs.IR2021★ 12 cited
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank
Ali Vardasbi, Maarten de Rijke, Ilya Markov
In counterfactual learning to rank (CLTR) user interactions are used as a source of supervision. Since user interactions come with bias, an important focus of research in this fiel…