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Design And Implementation Of Keyword Rank Competing System In Search Engine Marketing

Posted on:2014-03-04Degree:MasterType:Thesis
Country:ChinaCandidate:W B XieFull Text:PDF
GTID:2298330431959834Subject:Software engineering
Abstract/Summary:PDF Full Text Request
SEM(Search Engine Marketing) is one of the most influential markingmethod,and the customer always promote their brands or e-commerce website byadvertising in search engine. In the search result page, the higher price for the keyword,the higher rank for the advertisement in the result page. The higher rank will help thecustomer gain more profit. So the customer adjust the keyword price to the ideal rank.In this process, they have to change the price of the keyword. Futher more such a largeamount of keywords that they could hardly set price for each keyword in short time.In this condition, we need a computer software to help them set the price for thekeyword in order to get a proper rank which is a time-comsuming job by artificial.Therequirement of system from this article is mainly gathered from the operators and someimportant features from relative software in current market. And other requirements aregathered from the customers.Given to these requirements, this article designed a fullyfunctional auto-bidding system based on the keyword creative using Java technical torealize the system. Including bidding algorithm Using multi linear regression model topredict the average rank of the keyword and predict the click number by time seriesregression model. Which is consist of bidding module, rank detecting and setting pricemodule, auto-building model module. At last the system passed the functional testingand performance testing to ensure the whole system is identical with the requirementsfrom the customer.Through the requirement analysis and design of the autobidding system. Finally,the whole auto-bidding system was realized. Which reduce a lot of heavy work for theoperators and help the customer reduce the budget.
Keywords/Search Tags:SEM, Regression, Bidding, Keyword, Creative
PDF Full Text Request
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