Aug 25, 2021 · Artificial Intelligence

Advertising Creative Optimization Using Hybrid Bandit Models

The article describes Alibaba Moments’ advertising creative optimization platform, which uses hybrid bandit models that combine visual‑aware ranking priors with exploration‑exploitation algorithms such as Thompson Sampling and LinUCB to dynamically select whole creatives or individual elements, improving click‑through rates and mitigating cold‑start challenges.

Algorithmic Optimizationadvertising creativesbandit models

0 likes · 14 min read

Advertising Creative Optimization Using Hybrid Bandit Models

NetEase Media Technology Team

Apr 4, 2019 · Artificial Intelligence

Video Recommendation System: Framework, Topic Clustering, and Related Video Retrieval

The paper proposes a video recommendation framework that combines recall and ranking modules, using a multi‑modal topic clustering approach—integrating audio, visual, and textual features via NeXtVLAD, PCA, and K‑Means—to generate unified video representations, improve candidate selection, and boost click‑through and viewing time, while addressing cold‑start and semantic relevance challenges.

A/B testingHierarchical ClusteringNeXtVLAD

0 likes · 7 min read

Video Recommendation System: Framework, Topic Clustering, and Related Video Retrieval