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DataFunTalk
DataFunTalk
Jan 29, 2021 · Artificial Intelligence

Content Embedding Practices and Challenges at Hulu

This article presents Hulu's multi‑layered approach to content understanding and embedding, describing tag‑based graph embeddings, metadata‑BERT enhancements, multimodal video/audio feature aggregation, and various applications such as similarity search, ranking, cold‑start retrieval, and collection modeling, while also discussing current limitations and open research questions.

HuluRecommendation systemscontent embedding
0 likes · 12 min read
Content Embedding Practices and Challenges at Hulu
DataFunTalk
DataFunTalk
Jul 26, 2019 · Artificial Intelligence

Hulu’s Video Content Understanding: Challenges, Practices, and Applications

This article summarizes Hulu Chief Research Officer Xie Xiaohui’s presentation on why video content understanding is essential, the technical challenges involved, and Hulu’s end‑to‑end solutions—including fine‑grained segmentation, logo and subtitle detection, automated pipelines, tagging taxonomy, content generation, and vector embeddings—to improve recommendation, advertising, and search for massive video libraries.

AIHulucontent tagging
0 likes · 14 min read
Hulu’s Video Content Understanding: Challenges, Practices, and Applications
DataFunTalk
DataFunTalk
Feb 25, 2019 · Artificial Intelligence

NLP Research and Practice at Hulu: From Historical Milestones to Product Development

This article recounts a Hulu NLP research engineer's experience, reviewing key milestones such as NNLM, Word2vec, Transformer and BERT, and then contrasting academic research with product development while illustrating real-world projects like news personalization and content embedding, and describing the supporting AI platform architecture.

AIBERTHulu
0 likes · 23 min read
NLP Research and Practice at Hulu: From Historical Milestones to Product Development
DataFunTalk
DataFunTalk
Feb 18, 2019 · Big Data

Hulu’s Big Data Architecture and Sophon OLAP Cache Layer Overview

This article presents an in‑depth overview of Hulu’s big‑data platform, detailing its multi‑layer architecture, the design and functionality of the Sophon OLAP cache layer, and how Impala is employed for high‑performance query processing and integration with cloud‑native engines.

HuluImpalaOLAP
0 likes · 16 min read
Hulu’s Big Data Architecture and Sophon OLAP Cache Layer Overview
Meitu Technology
Meitu Technology
Jul 27, 2017 · Backend Development

Evolution and Practice of Hulu High-Definition Live Streaming System Architecture

Hulu rebuilt its live‑streaming platform using lessons from its high‑definition VOD service, adopting a DASH‑centric architecture that delivers high‑definition, low‑latency video across mobile and living‑room devices, and showcases design contrasts with domestic solutions to broaden streaming system design perspectives.

Backend DevelopmentHuluLive Streaming
0 likes · 2 min read
Evolution and Practice of Hulu High-Definition Live Streaming System Architecture
High Availability Architecture
High Availability Architecture
Jan 6, 2016 · Big Data

Spark Latest Features, Tungsten Project, and Hulu’s Production Practices

This article reviews Spark's evolution from version 1.2 to 1.6, explains the DataFrame and Tungsten projects, shares Hulu’s real‑world Spark deployments, and discusses performance‑related challenges such as stack overflow, streaming receiver latency, and class‑loader deadlocks.

Big DataDataFramesDataset API
0 likes · 17 min read
Spark Latest Features, Tungsten Project, and Hulu’s Production Practices