Thesis Details
Rozšíření uživatelských profilů pro účely cílené reklamy
This thesis is devoted to designation and realisation of the extension of user profiles for improvement targeted advertising purposes. Web scraping is used for acquirement of new data information. Extracted data comes from two servers, ČSFD and Recepty. Data from ČSFD are film genres. Data from Recepty are categories of recepies. Streaming applications are used for processing of data and saving them to databases of user profiles. Preprocessing and machine learning classification algorithms are used for benefit evaluation of new informations for profiles in advertising campaigns. Evaluation of experiments shows that new informations have slight benefit in improvement advertising campaigns.
Data mining, web scraping, machine learning, preprocessing, classification, streaming applications, user profiles, targeted advertising.
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Češka Milan, prof. RNDr., CSc. (DITS FIT BUT), člen
Šeda Miloš, prof. RNDr. Ing., Ph.D. (FME BUT), člen
@mastersthesis{FITMT22119, author = "Filip Hada\v{c}", type = "Master's thesis", title = "Roz\v{s}\'{i}\v{r}en\'{i} u\v{z}ivatelsk\'{y}ch profil\r{u} pro \'{u}\v{c}ely c\'{i}len\'{e} reklamy", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/22119/" }