Alibaba Entertainment Search Algorithm Practice and Insights – Video Search Case Study with Youku
The live session presented Alibaba Entertainment’s senior algorithm expert discussing Youku’s video search business, relevance and ranking models, multimodal search challenges, and practical AI techniques, offering attendees a comprehensive view of modern video retrieval systems and their implementation.
On February 2nd, DataFunLive partnered with Alibaba Entertainment to host an online livestream where senior algorithm expert Ruo Ren shared "Alibaba Entertainment Search Algorithm Practice and Insights – How to Help Users Find Desired Content".
The talk used Youku as a case study to introduce the video search business, the underlying relevance and ranking algorithm architecture, and the specific challenges and solutions for these models.
Key topics included an overview of video search fundamentals, evaluation metrics, system framework, basic relevance and ranking models, and the exploration of multimodal video search techniques employed by Youku.
Attendees learned about the practical AI methods behind video retrieval, the characteristics of relevance and ranking algorithms, and the technical practices for deploying them, as well as Youku’s ongoing research in multimodal video search.
Additional resources such as the presentation slides and video replay were made available, and participants could obtain the PDF by replying with the code "20200202" to the DataFunTalk account.
DataFunTalk
Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.