The Similarity Calculation And Prediction Of Behavior Based On Data Stream

With the development of Internet technology, the amount of data exploding, users will often have a lot of records on the Internet, then, how to use these data allows businesses or business operations to better meet the needs of users is a question. With the continued expansion of market share content marketing, a lot of content on the topic of how different marketing on content marketing and traditional advertising. With the development of advertising these years,, corporate and brand are still faced with "how to reach your target audience" troubles. Consumers know that every day they are surrounded with a variety of traditional advertising, these ads will be some concern, and some were ignored. In the history of advertising, the consumer does not turn on their digital devices is to find advertising, advertising to reach a brand. They are always looking for great content. This is the core of marketing; corporate and brand can communicate with consumers in the contents of the target consumers are used in contact. Perhaps such communication can bring the interests of business and brand is great.To show through more traditional advertising promoting effect also began to realize that to achieve better advertising effectiveness, not more display ads, but more have access to the target’s ad. Living in today’s digital environment, content marketers to broaden their thinking is more important than the creation of content, marketers need to use a unique strategy to create the atmosphere of easy audience to accept, and to collect all the audience’s reaction to the analysis funnel.This article utilizes the user history data, and expert with data, information and commodities data, perform a similar calculation method of extraction may be predicted with a commodity product, and use of data mining algorithms commonly used classification, according to the commodity and users Some statistics for data modeling, and the model established for evaluation. Produce the final with the program. At the same time such a mix of programs can be presented to the user, to provide users with a convenient also played a role in marketing. Also play better the value of the data.