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AI hotspot content intelligent editing system

A hot content, intelligent technology, applied in the computer field, can solve the problems of lack, inability to innovate digital intelligent services, and inability to become an opportunity for enterprise digital marketing

Pending Publication Date: 2020-11-13
北京雅邦网络技术发展有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In today's information explosion, users obtain a large amount of information from different channels and platforms every day. How to select the hottest current events, industry hotspots and regional hotspots from the complicated information in a targeted manner has become an important issue for various news media and self-media. This poses a new challenge to the user content interaction system. Taking the user content interaction system applied to automobiles as an example, the existing system lacks innovation. First of all, it cannot standardize the system for various automobile companies and content distributors. Provide Internet and mobile cross-platform digital marketing solutions, while lacking technology and operational service integration, and cannot accurately and vigorously cultivate, acquire, and transform cross-platform customer information, and even lack professional content original personnel compared to content distributors, unable to With the help of the development of network media in the E-era, it is impossible to innovate digital intelligent services
[0003] To sum up, in the current scenario, some content distributors invest a lot of relevant professional human resources to produce online materials for distribution, which is better than editing an online material in 2-3 days.
At the same time, with the continuous increase of labor costs, the resource investment pressure of content distributors is increasing, making ends meet, and the losses outweigh the gains, which cannot become a powerful fulcrum for corporate digital marketing.
In the existing technology, there is no content material output system perpendicular to the automobile industry, and it is impossible to provide professional and efficient network materials for different automobile brand characteristics. Compared with the current Internet hot search, how to know the hot search content, how to analyze the hot search quality, how to How to quickly acquire high-quality hot materials and use the opportunity to market, how to increase the breadth and depth of network content, and how to maintain a continuous leading position in digital marketing are also business needs that most content distributors need to solve urgently

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0018] The embodiment of this application provides the crawler channel recommendation model module of the AI ​​hot content intelligent editing platform. Based on the crawler technology, the download volume of the content platform and the exposure volume of major news media are used as the standard to select and acquire crawler channels. Please refer to figure 1 , the crawler channel recommendation model is implemented based on two parts: hotspot insight and data acquisition.

[0019] The first step is hotspot insight. Based on the index crawler technology, it can quickly and accurately obtain hotspot indexes from various channels. Through changes in the objective index of "network communication popularity index", it quickly presents the ranking of hotspot events and the status of each event in a short period of time. temperature changes. Using this function, self-media practitioners and corporate marketing departments can quickly discover and track hot spots, thereby greatly ...

Embodiment 2

[0023] The embodiment of this application provides a multi-modal data dimension analysis model module of the AI ​​hot content intelligent editing platform, based on the semantic analysis algorithm, through the upper-level word frequency statistics, retrieval, word segmentation, deep features, and machine learning methods to perform hot article fragments Multimodal data calculation, please refer to figure 2 , the multimodal data dimension acquisition model is realized based on two parts: intelligent segmentation and labeling system.

[0024]The first step is intelligent segmentation. Based on the latest deep learning technology and neural network, the platform has the ability to read, extract potential features of massive text data, and help users automatically process massive text data. "Frequency Words" provides an in-depth understanding of relevant information in an all-round way, improves word processing efficiency and text mining depth, uses optimized feature extraction, ...

Embodiment 3

[0028] The embodiment of this application provides the real-time hot article intelligent editing module of the AI ​​hot content intelligent editing platform, based on AI intelligent innovative operation, one-key operation and quick output, which greatly improves the creation efficiency and makes content creation easier, efficient and high-quality. Please refer to image 3 , the intelligent editing model of real-time hot articles is realized based on three parts: topic model, popularity feedback and intelligent generation.

[0029] The first step is the topic model, which is based on the document semantic model to search for articles on related topics, completes the expected acquisition of the article construction layer, and screens alternative materials for article generation. The primary semantic model searches for related articles, improves hotspot / brand particle associations, and increases attribute value. Initially, content distributors manually select associated hotspots ...

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Abstract

The invention discloses an AI hotspot content intelligent editing platform and belongs to the technical field of computers. The system aims to enable an AI algorithm to express and create an importantscene of artificial intelligence like a person. The intelligent creation is just one of core technologies of the scene. The method starts from perspectives of AI technology development and application and market demands, in combination with years of project business experience, innovative research and development of the system platform are conducted, the method aims at forming a raw material database for putting hot-spot materials into a brand content distributor network, the business awkward situation that a content distributor lacks professional original personnel is solved, the high-quality content is enabled by using Ai, an algorithm is used for efficiently outputting drive, and high-quality hot spot borrowing marketing content is provided for a content distributor. According to the method, a most rapid original content editing and putting scheme is adopted, the original period of network material putting is shortened from day to time, the network material flow is improved to be converted from unit digit to ten thousand digit, and the method is linked with other inner putting propagation tools, is in butt joint with existing user digital contacts, and supports precise marketing scenes such as advertisements and the like.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a set of AI hotspot content algorithm model system. Background technique [0002] With the development of mobile media, the Internet and global market competition in various industries, it has become a new trend to achieve efficient user content interactive display experience. In today's information explosion, users obtain a large amount of information from different channels and platforms every day. How to select the hottest current events, industry hotspots and regional hotspots from the complicated information in a targeted manner has become an important issue for various news media and self-media. This poses a new challenge to the user content interaction system. Taking the user content interaction system applied to automobiles as an example, the existing system lacks innovation. First of all, it cannot standardize the system for various automobile companies and con...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/951G06F16/9535G06F16/36G06F16/335G06F16/901G06F16/903G06F40/186G06F40/166
CPCG06F16/951G06F16/9535G06F16/367G06F16/335G06F16/901G06F16/90335G06F40/186G06F40/166
Inventor 胡英姿
Owner 北京雅邦网络技术发展有限公司