Recently, Li Biao, the Algorithm Center of Tencent PCG News Product Technology Department, was invited to Tencent Media Research Institute for internal sharing, and sorted out the algorithm application product scenarios in detail. The following is a partial record.
The topic I share with you today is algorithm-enabled content processing and distribution, focusing on content processing. Before we start, let’s introduce the application scenarios of the algorithm in Tencent News.
The first is the understanding and distribution of various content forms (such as text, video, audio, topics, Q&A, etc.) in Tencent News APP, which involves recommendation systems and AI algorithms to enable content operations.
The second is to push Tencent News to WeChat, each time a big picture and three news information, a total of four, click on some bottom pages to jump to the Tencent News APP.
The third, Dolphin Smart Sound, a "listening phone number list to the news" artifact, mainly used in smart speakers, car audio and smart home appliances, can currently provide 70% of the voice information on the market; it involves voice summaries, voice recording and personalized voice recommendations algorithm.
The fourth, Dreamwriter, involves a lot of things such as writing, content creation, screening, and matching pictures, which is also the focus of this article.
First, the framework of the algorithm
The overall framework of the algorithm consists of the underlying algorithm and the upper-level application. The underlying algorithms include NLP lexical, syntax, text understanding, etc., visual image quality, image-text matching, image and video understanding and other algorithms, as well as some basic algorithms for search.
There are two types of applications grafted on top of the underlying algorithm, namely recommendation system and search. The recommendation system can be divided into five steps.
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