Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings.

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019.

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摘要

Click-through rate (CTR) prediction has been one of the most central problems in computational advertising. Lately, embedding techniques that produce low-dimensional representations of ad IDs drastically improve CTR prediction accuracies. However, such learning techniques are data demanding and work poorly on new ads with little logging d...更多

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