DataFunTalk Year-End Knowledge Graph Forum – Schedule, Speakers, and Registration Details
The DataFunTalk Year-End Knowledge Graph Forum on December 19, 2023, will be streamed live and feature four expert speakers from Baidu, Alibaba, Meituan, and Beike who will share cutting‑edge knowledge‑graph technologies, applications, and practical techniques for industry and research audiences.
On December 19, 2023, from 09:00 to 12:00, the DataFunTalk Year-End Knowledge Graph Forum, produced by senior Alibaba algorithm expert Zhang Wei, will be streamed live and feature four speakers from Baidu, Alibaba, Meituan, and Beike.
09:00‑09:40 – Baidu senior R&D engineer Dr. Wang Quan will present “Baidu Knowledge Graph Technology and Applications”, covering overall architecture, general and industry graphs, event and video graphs, and open data initiatives.
09:45‑10:25 – Alibaba algorithm expert Tang Chengguang will discuss “Low‑Cost Construction and QA for Yunxiaomi Knowledge Graph”, introducing a cost‑effective pipeline, KBQA core algorithms, and best practices for industrial deployment.
10:30‑11:10 – Meituan AI platform researcher Dr. Cao Xuezhi will share “Construction and Application of New‑Retail Product Knowledge Graph in Meituan Brain”, describing challenges of retail data, graph building methods, and use cases across e‑commerce.
11:15‑12:00 – Beike senior technology manager Sun Baqun will present “Intelligent Training Based on Causal Graphs”, explaining how a causal‑graph‑driven dialogue system enables automated training, SOP extraction, and evaluation for real‑estate agents.
Each session includes speaker biographies, audience takeaways, and highlights of new techniques such as graph construction, representation, event and video graphs, low‑cost pipelines, and intelligent training. Attendees can register for free by scanning the QR code.
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.
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