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multi-class classification

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Tencent Cloud Developer
Tencent Cloud Developer
Dec 4, 2020 · Artificial Intelligence

Building User Interest Tags in WeChat's Recommendation System

The paper presents a WeChat recommendation system that estimates user interest tags via multi‑class classification, using hierarchical intra‑ and inter‑domain attention and dense feature‑crossing to capture diverse preferences, aggregates click‑tag preferences rather than treating all tags equally, and demonstrates superior offline and online performance over baselines such as YouTube‑DNN, AFM, NFM, DCN, and AUTOINT.

AB testingfeature crossinghierarchical attention
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Building User Interest Tags in WeChat's Recommendation System