30 citations · 74 across the 8 of their papers we have counts for
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cs.IR2022★ 1 cited
Do not Waste Money on Advertising Spend: Bid Recommendation via Concavity Changes
Deguang Kong, Konstantin Shmakov, Jian Yang
In computational advertising, a challenging problem is how to recommend the bid for advertisers to achieve the best return on investment (ROI) given budget constraint. This paper p…
cs.IR2022
Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization
Deguang Kong, Konstantin Shmakov, Jian Yang
In cost-per-click (CPC) or cost-per-impression (CPM) advertising campaigns, advertisers always run the risk of spending the budget without getting enough conversions. Moreover, the…
cs.IR2022★ 1 cited
Language Agnostic Multilingual Information Retrieval with Contrastive Learning
Xiyang Hu, Xinchi Chen, Peng Qi +4
Multilingual information retrieval (IR) is challenging since annotated training data is costly to obtain in many languages. We present an effective method to train multilingual IR…