Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/65145
Title: | Tecnologías que mejoran la privacidad en los sistemas de recomendación |
Author: | Gil Mayo, Francisco |
Director: | Parra Arnau, Javier |
Tutor: | Rodriguez Velazquez, Juan Alberto ![]() |
Others: | Universitat Oberta de Catalunya |
Abstract: | The development of Internet, mobiles and the appearance of numerous applications are quickly changing our society. Many applications have personalized recommendation systems to analyze the preferences of each customer and to predict the interest they will have for a particular item. There are two usual strategies: "forgery" where we change the items rating for user doesn't show his real interests and "suppression" where the items rating is eliminated. The purpose of this paper is to evaluate the impact of these two strategies on real utilities of a recommendation system such as MAE and RMSE. |
Keywords: | privacy enhancements recommendation systems rating perturbative mechanisms |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 15-Jun-2017 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ ![]() |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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fgilmaTFM0617memoria.pdf | Memoria del TFM | 2,94 MB | Adobe PDF | ![]() View/Open |
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