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ESMM: joint click and post-click conversion modeling over impressions

Trained click and joint click–conversion objectives over all impressions using a multiplicative probability decomposition and shared embeddings, avoiding direct unstable division of separately learned small probabilities.

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Trained click and joint click–conversion objectives over all impressions using a multiplicative probability decomposition and shared embeddings, avoiding direct unstable division of separately learned small probabilities.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The sequential click-before-conversion labeling assumption and positive click support matter. Full-impression training does not by itself certify unbiased counterfactual conversion estimates or eliminate all finite-sample selection effects; delayed feedback is explicitly outside the paper's focus. Original v1 has placeholder DOI and a2022 copyright anomaly despite its2018 arXiv identity; these are not treated as valid publication identifiers.

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People and systems

Xiao Ma; Liqin Zhao; Guan Huang; Zhi Wang; Zelin Hu; Xiaoqiang Zhu; Kun Gai

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

ESMM: joint click and post-click conversion modeling over impressions

Trained click and joint click–conversion objectives over all impressions using a multiplicative probability decomposition and shared embeddings, avoiding direct unstable division of separately learned small probabilities.

Scientific scope

The sequential click-before-conversion labeling assumption and positive click support matter. Full-impression training does not by itself certify unbiased counterfactual conversion estimates or eliminate all finite-sample selection effects; delayed feedback is explicitly outside the paper's focus. Original v1 has placeholder DOI and a2022 copyright anomaly despite its2018 arXiv identity; these are not treated as valid publication identifiers.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Xiao Ma; Liqin Zhao; Guan Huang; Zhi Wang; Zelin Hu; Xiaoqiang Zhu; Kun Gai

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources