BLOGGER AND ADVERTISER RECOMMENDATION SYSTEM BASED ON BIGDATA COLLABORATIVE FILTERING AND METHOD THEREOF

摘要

Disclosed is a blogger and advertiser recommendation server and a blogger and advertiser matching method. The blogger and advertiser recommendation server according to the embodiment extracts the marketing phrase registered in the blog posting, and the search user including the access terminal, browser environment, region, age, previous access posting and previous search word of the search user who searched the blog posting. A blog analysis module that collects detailed data and generates blog analysis information including types of products posted on the blog and main consumer details; An advertiser analysis module that generates product analysis information including the type and price of the product to be advertised, the main consumer group and marketing strategy information, and identifies the company characteristic information based on the characteristics and marketing information of the advertising company; A recommendation module that recommends blog information that matches advertiser's marketing strategy to advertisers and recommends corporate information to advertisers to bloggers using analyzed search user detailed data, blog analysis information, product analysis information, and company characteristic information; It includes.