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Tencent Advertising Technology
Tencent Advertising Technology
Aug 27, 2024 · Artificial Intelligence

Auxiliary Ranking Loss Enhances Classification Ability in Sparse‑Feedback CTR Prediction

This study investigates how adding an auxiliary ranking loss to click‑through‑rate (CTR) models not only improves ranking but also alleviates gradient‑vanishing for negative samples, thereby boosting the primary classification performance, especially under sparse positive‑feedback conditions.

CTR predictionadvertisinggradient analysis
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Auxiliary Ranking Loss Enhances Classification Ability in Sparse‑Feedback CTR Prediction
NetEase Media Technology Team
NetEase Media Technology Team
Jul 12, 2019 · Artificial Intelligence

Video Highlight Detection and GIF Cover Generation Using 3D Convolutional Scoring

The paper proposes a 3D‑CNN scoring system that ranks short, information‑dense video segments, selects the most exciting one, and converts it into a looping GIF cover, replacing static thumbnails; trained on large video‑GIF datasets with pairwise ranking loss, it improves click‑through rates while reducing bad‑case generation.

3D CNNGIF generationVideo Summarization
0 likes · 13 min read
Video Highlight Detection and GIF Cover Generation Using 3D Convolutional Scoring