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advertiser and single marketer matching system for using machine learning
advertiser and single marketer matching system for using machine learning
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机译：用于使用机器学习的广告商和单次营销匹配系统
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摘要
The present invention relates to an advertiser and one-person marketer matching system using artificial intelligence. In more detail, based on the past marketing activity information of the single marketer, a single marketer that is optimized for the advertisement content is matched to predict the advertisement effect in advance before proceeding with the advertisement. This is a matching system for advertisers and single marketers using artificial intelligence. About. To this end, the present invention searches for and recommends the most suitable marketer for viral marketing on the registered advertisement content when the advertisement content to be marketed through the advertiser terminal is registered. Marketer matching module; A URL generation module that allocates a URL for the advertisement content to a single marketer who has been matched by an advertiser and a single marketer matching module, wherein the URL is assigned to enable unique identification for each single marketer; When an individual URL is allocated to each marketer by the URL generation module, the behavioral data that the single marketer is active online is collected, but the collected behavioral data is a relationship related to the channel including the SNS or blog in which the marketer is active. Network information, marketing activity information in text format, created to induce interest in advertising content to third parties who form a relationship network with one marketer when sharing assigned individual URLs, channel of one marketer A one-person marketer behavioral data collection module that includes information about a visitor who has accessed to and consumer data for which actual purchases have been made through the advertisement; Through a pre-processing process of extracting and clustering only the marketing activity information from the information collected in the single marketer behavior data collection module, the marketing activity information is learned by analyzing which text the marketer induces consumers when performing marketing activities. It includes a single marketer behavioral data learning processing module, and the advertiser and single marketer matching module determines the content of advertisements entered through the advertiser''s terminal, advertisement cost, number of marketers required, views, purchase rate, click-through rate, click-through rate versus views, and advertisement period. The natural language processing sub-module that performs a pre-processing process of acquiring the included advertisement data and extracting the core keywords, analyzes the advertisement contents based on the core keywords processed through the natural language processing sub-module, and automatically classifies them into pre-classified advertisement categories. Ad category classification sub-module for each advertisement category, a learning sub-module that continuously learns and processes the results of activities marketed online by one marketer for each advertisement category, and one person suitable for the entered advertisement content by comparing with data previously learned through the learning sub-module It provides an advertiser and one-person marketer matching system using artificial intelligence including a marketer matching recommendation sub-module that searches for and recommends marketers.
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