Meituan's Exploration and Practice in Advertising Algorithm: Information Flow Ad Estimation

This article details Meituan Waimai's feed advertising system, covering business characteristics, the evolution of estimation models, and practical implementations such as decision‑path modeling, ultra‑long/wide user modeling, full‑reconstruction techniques, and the integration of large language models for CTR prediction.

CTR estimationLLMMeituan

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Meituan's Exploration and Practice in Advertising Algorithm: Information Flow Ad Estimation

JD Cloud Developers

Oct 29, 2020 · Artificial Intelligence

How JD Leverages Knowledge Graphs for Better E‑commerce Interest Recall

JD’s recommendation team outlines three key innovations—knowledge‑graph‑based interest recall, enhanced CTR estimation with a DRM module, and a listwise ranking strategy—that together address user‑interest expansion challenges in e‑commerce, especially for cold‑start items, long‑tail products, and dynamic promotional scenarios.

CTR estimationRecommendation Systemse‑commerce

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How JD Leverages Knowledge Graphs for Better E‑commerce Interest Recall

DataFunTalk

Jan 23, 2019 · Artificial Intelligence

Deep Learning Technologies Applied to Sogou Search Advertising

This talk by Sogou search advertising researcher Shupeng explains how deep learning techniques are applied to search ad tasks such as automated creative generation and click‑through‑rate prediction, covering system workflow, data pipelines, model evolution from linear models to Wide&Deep and NFM, evaluation metrics, and future directions.

CTR estimationautomated creativemachine learning

0 likes · 33 min read