This article examines how search advertising can be seamlessly blended with user queries by balancing relevance and revenue, reviewing the evolution from portal indexing to recommendation systems, and detailing Baidu's Mobius framework that jointly optimizes relevance, CTR, and eCPM in a unified pipeline.
This article presents a comprehensive overview of Youku's video search system, covering business background, evaluation metrics, system and algorithm frameworks, relevance and ranking feature engineering, dataset construction, semantic matching, multimodal video understanding, and practical case studies that illustrate the impact of deep learning and AI techniques on search performance.
The article introduces a four‑dimensional evaluation framework for retrieval systems—Fast, Accurate, Complete, and New—explaining how each metric is measured, why it matters to users, and how crowdsourced testing across devices and networks can provide objective quality assessments.
