DC pole | Wartość | Język |
dc.contributor.author | Boryczka, Urszula | - |
dc.contributor.author | Bałchanowski, Michał | - |
dc.date.accessioned | 2021-11-18T14:37:45Z | - |
dc.date.available | 2021-11-18T14:37:45Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | "Procedia Computer Science", Vol. 192, 2021, s. 2229-2238 | pl_PL |
dc.identifier.issn | 1877-0509 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/21904 | - |
dc.description.abstract | of the generated recommendations, different techniques are often used which try to personalize recommendations. Usually user
preferences are stored in the form of a vector in which individual values describe to what extent a given feature is desired by the
user. To find this vector, metaheuristic algorithms can be used, however their main drawback is their computational complexity.
Therefore, in this paper, a modification of the Differential Evolution algorithm is proposed to enable faster computation of the
ranking score for each item in the system, which is used to create a recommendation list. Experiments have been performed on the
current MovieLens 25m database and they show that our modification can significantly speed up the process of finding a preference
vector, without losing their quality for the top-N recommendation task. We will also address the vulnerability of recommendation
systems to profile injection attacks, as a result of which an attacker can influence the generated recommendations. | pl_PL |
dc.description.sponsorship | Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021; 08-10.09.2021 Szczecin | pl_PL |
dc.language.iso | en | pl_PL |
dc.rights | Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/pl/ | * |
dc.subject | recommendation systems | pl_PL |
dc.subject | ranking function | pl_PL |
dc.subject | learning to rank | pl_PL |
dc.subject | differential evolution | pl_PL |
dc.subject | metaheuristic | pl_PL |
dc.subject | profile injection attack | pl_PL |
dc.title | Speed up Differential Evolution for ranking of items in recommendation systems | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
dc.identifier.doi | 10.1016/j.procs.2021.08.236 | - |
Pojawia się w kolekcji: | Artykuły (WNŚiT)
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