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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 testingUser Profilingfeature crossing
0 likes · 8 min read
Building User Interest Tags in WeChat's Recommendation System
DataFunTalk
DataFunTalk
Dec 20, 2019 · Artificial Intelligence

AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications

The article presents AutoCross, a system that automatically generates and selects high‑order feature crossings for tabular data using multi‑granularity discretization, beam search, field‑wise logistic regression and successive mini‑batch gradient descent, achieving superior accuracy and efficiency in large‑scale recommendation scenarios.

AutoCrossRecommendation systemsautomatic feature engineering
0 likes · 10 min read
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications