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Semantic Understanding Technology and Application based on Knowledge Graph – Baidu
The important value of knowledge graph in artificial intelligence application is becoming more and more obvious. Baidu has built a large-scale general knowledge graph, which is widely used in many products such as search, recommendation and intelligent interaction. At the same time, with the deepening of intelligent technologies such as text, speech and vision, knowledge graph is facing new challenges and opportunities in complex knowledge representation and multi-mode semantic understanding technology and application. This paper will introduce the latest development of Baidu’s knowledge graph based understanding technology and application from text to multi-modal content.
Tencent information flow content understanding technology practice
At present, the content understanding technology used in information flow recommendation mainly consists of two parts:
1. Technology accumulation left over from portal era and search era: classification, keywords and knowledge graph related technologies;
2. Technical benefits brought by deep learning: embedding. However, the classification of interest points is too rough, and the entity is easy to cause the problem of recommendation diversity, and the embedding technology is hard to explain.
This time mainly introduced in the information flow recommendation, Tencent is how to do content understanding to overcome the above problems.
Mainly include: project background, interest map, content understanding, online effect.
Ali Mom: The development and challenge of e-commerce forecasting model
Content outline:
- 1. Characteristics of personalized estimation of e-commerce data
- 2. Iteration path of Ali Mama model
- 3.Where to Go
Youku DSP advertising system architecture practice
With the rise of RTB online display advertising transaction model, major companies have built their own DEMANd-side Platform (DSP) advertising system to acquire customers. Youku has also built DSP system in recent years and is iterating continuously. In this process, what kind of technological exploration? What potholes did you wade into? What are the technical solutions for precipitation? Below I will share from the technical perspective, hoping to inspire you.
Jingdong e-commerce recommendation system practice
Experience in the practice of jd e-commerce recommendation system
- 1. Sorting module
- 2. Real-time updates
- 3. Recall and first round sequencing
- 4. Experimental platform
From algorithm to Application: Didi end-to-end speech AI technology practice
With the development of AI technology, intelligent voice interaction technology is gradually landing and large-scale application by domestic and foreign giants. Drops travel as a leading mobile Internet company in the field of mobile travel, also is actively layout and the use of the intelligent voice interaction related technology, such as speech recognition, speech dialogue comprehension, speech synthesis, etc., in order to better provide high quality service for drivers and passengers, in particular, contain the driver intelligent assistants and drabs intelligent customer service system and other application products.
Meituan dialogue understanding technology and practice
Intelligent customer service is an artificial intelligence system that uses natural language to interact with users. By analyzing users’ intentions, it communicates with users in a humanized way and provides customer service to users.
This topic first introduces the dialogue interaction framework of Meituan intelligent customer service, and then introduces the machine learning algorithm used in the core modules of intention mining, intention understanding, emotion recognition and conversation management in detail.
Deep learning sequencing system and model
Ctrip financial big data risk control algorithm practice
Weibo is based on Flink’s machine learning practice
As a mainstream social media platform in China, Weibo currently has 222 million daily users and 516 million monthly users. How to recommend high-quality content for users in real time is inseparable from the large-scale machine learning platform of Weibo.
Optimization and practice of YARN in Bytedance
Alibaba double 10 million level real-time monitoring system technology revealed
From the machine monitoring at the bottom to the applications facing users, sequential business scenarios are essential, and sequential data are generally stored and analyzed by professional sequential databases. The following mainly introduces the business scenarios covered by TSDB and the challenges it faces
Evolution of ant data analysis platform and application of data analysis method
It mainly shares the evolution of the data analysis platform and how some of the data analysis methods we precipitated on it are applied.
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