Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/65846
Title: | Impact evaluation of clustering-based k-anonymity for recommendations |
Author: | Ros Martín, Miguel |
Tutor: | Salas Piñón, Julián Casas-Roma, Jordi |
Others: | Universitat Oberta de Catalunya |
Abstract: | SaNGreeA is a greedy and deterministic clustering algorithm for achieving kanonymous clusters on a labeled, undirected graph. It is nowadays a classic and the leading work in clustering based k-anonymity algorithms. It has a quadratic time complexity which makes it really slow for a reasonably big network (1 M nodes). Our project adapts SaNGreeA to make it scalable for a real world big network and specialises it to make sure the generated clusters are useful for a recommender system. |
Keywords: | k-anonimity clustering recommendations |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 15-Jan-2017 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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rossoftTFM0617memoria.pdf | Memòria del TFM | 897,36 kB | Adobe PDF | View/Open |
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