Cold Start Strategies for New Content in Baidu Feed Recommendation

This article presents Baidu's comprehensive approach to cold‑starting new content in its large‑scale feed recommendation system, covering the definition and challenges of content cold start, algorithmic practices, ID feature optimizations, traffic control mechanisms, experimental design, and key Q&A insights.

AIBaiducold start

0 likes · 16 min read

Cold Start Strategies for New Content in Baidu Feed Recommendation

Top Architect

Jan 19, 2021 · Big Data

Designing a Content Hotness Scoring Algorithm for Community Platforms

This article describes how a community’s big‑data team designed a content hotness algorithm by defining time, interaction, content, and user dimensions, assigning business meanings, applying weighted formulas and a Newton‑cooling decay function, and integrating user interest vectors to compute dynamic scores.

content rankingengagement metricshotness algorithm

0 likes · 9 min read

Designing a Content Hotness Scoring Algorithm for Community Platforms

Alibaba Cloud Developer

Jun 29, 2018 · Artificial Intelligence

How AI Powers Heterogeneous Content Ranking in E‑Commerce Search

This paper addresses the challenge of ranking heterogeneous data in e‑commerce by proposing two algorithms—a multi‑armed bandit approach and a personalized Markov deep neural network—to select and order content streams, demonstrating superior performance over baseline models in A/B tests.

Bandit AlgorithmsDeep Learningcontent ranking

0 likes · 7 min read