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Analysis and prediction of online campaign impressions

Vid Babič (2018) Analysis and prediction of online campaign impressions. EngD thesis.

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    The purpose of the diploma work was to gain new knowledge about the methods of advertising, the characteristics of online campaigns and to predict the number of campaign impressions after a certain period of duration. In the first part of the thesis, we built a data set from different sources and analyzed the data according to different campaign characteristics (number of impressions, year of activity, duration). We discovered different patterns, especially in terms of campaign duration. In the second part, we tested the performance of predicting the number of campaign impressions. We used three data sets that differed by the time we started to collect forecasting data. We used 5-fold cross-validation to evaluate five regression methods (linear regression, regression tree, random forests, support vector machine, k nearest neighbors) for the task.

    Item Type: Thesis (EngD thesis)
    Keywords: analysis, online campaign, online marketing, prediction
    Number of Pages: 44
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Tomaž Curk299Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1538011843)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 4262
    Date Deposited: 26 Sep 2018 18:32
    Last Modified: 08 Nov 2018 09:29
    URI: http://eprints.fri.uni-lj.si/id/eprint/4262

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