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This article reviews Baidu's multimodal search advancements, covering the evolution of voice and visual search, technical architectures, algorithmic improvements, and future prospects such as the DuXiaoxiao app that integrates speech, image, and text AI for immersive user experiences.
An advanced multi‑level, multi‑modal search and graph engine for Youku processes text, voice, image and video queries across hierarchical video elements, using combined vector and inverted indexes to merge cross‑level and cross‑modal results, while a distributed knowledge‑graph layer enables multimodal graph traversal for billion‑scale video retrieval.
In this talk, senior algorithm expert Ruo Ren outlines Alibaba Entertainment’s video‑search framework—covering basic relevance, ranking, and multimodal techniques that blend information retrieval, NLP, machine learning, and computer vision—using Youku as a case study to illustrate business needs, algorithmic challenges, and practical implementation solutions.