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dc.contributor.authorMasinde, Newton W.
dc.contributor.authorFatima, Sameen S.
dc.date.accessioned2018-11-22T12:35:55Z
dc.date.available2018-11-22T12:35:55Z
dc.date.issued2015-03
dc.identifier.citationNewton Masinde, Gerald Schaefer, Iakov Korovin, "Stable and reliable predictive accuracy of robust weighted slope one under profile injection attacks", Informatics Electronics and Vision (ICIEV) 2016 5th International Conference on, pp. 1041-1046, 2016.en_US
dc.identifier.isbn978-1-4799-6899-2
dc.identifier.uri10.1109/SCAT.2014.7055125
dc.identifier.urihttp://ir.jooust.ac.ke:8080/xmlui/handle/123456789/2984
dc.descriptionProceedings of the 2nd Pan African International Conference on Science, Computing and Telecommunications (PACT 2014)en_US
dc.description.abstractThe use of recommender systems has become the de-facto standard in e-commerce systems. The most popular recommendation techniques are the collaborative filtering techniques. Their open nature of collaborative recommender systems however allows attackers who inject biased profile data to have an impact on the recommendations produced. The standard memory-based collaborative filtering algorithms, such as k-nearest neighbour, have been shown to be quite vulnerable to such attacks. In this paper, we examine the robustness of model-based recommendation algorithms in the face of profile injection attacks. Specifically, two recommendation algorithms under the Slope One class of algorithms, namely, Weighted Slope One and Improved Slope One, are considered. Additionally, we propose a modified Slope One based algorithm which we call the Robust Weighted Slope One (RWSO) algorithm. Empirically, we show that the Robust Weighted Slope One performs better under profile injection attacks. We also show that the Improved Slope One performs poorly under pre-attack conditions contrary to expectations.en_US
dc.language.isoenen_US
dc.publisherIEEE Xploreen_US
dc.subjectAccuracyen_US
dc.subjectPrediction algorithmsen_US
dc.subjectRobustnessen_US
dc.subjectMeasurementen_US
dc.subjectCollaborationen_US
dc.subjectRecommender systemsen_US
dc.subjectTrainingen_US
dc.subjectCollaborative Filteringen_US
dc.subjectSlope Oneen_US
dc.titleEffect of varying filler-size in profile injection attacks on the Robust Weighted Slope Oneen_US
dc.typeArticleen_US


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