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Abnormal Profiles Detection Based on Time Series and Target Item Analysis for Recommender Systems
Joint Authors
Wen, Junhao
Zhou, Wei
Gao, Min
Ren, Haijun
Li, Peng
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Collaborative filtering (CF) recommenders arevulnerable to shilling attacks designed to affect predictions becauseof financial reasons.
Previous work related to robustnessof recommender systems has focused on detecting profiles.
Mostapproaches focus on profile classification but ignore the groupattributes among shilling attack profiles.
Attack profiles areinjected in a short period in order to push or nuke a specifictarget item.
In this paper, we propose a method for detectingsuspicious ratings by constructing a time series.
We reorganizeall ratings on each item sorted by time series.
Each timeseries is examined and suspected rating segments are checked.
Then we use techniques we have studied in previous studyto detect shilling attacks in these anomaly rating segmentsusing statistical metrics and target item analysis.
We show inexperiments that our proposed method can be effective and lesstime consuming at detecting items under attacks in big datasets.
American Psychological Association (APA)
Zhou, Wei& Wen, Junhao& Gao, Min& Ren, Haijun& Li, Peng. 2015. Abnormal Profiles Detection Based on Time Series and Target Item Analysis for Recommender Systems. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073954
Modern Language Association (MLA)
Zhou, Wei…[et al.]. Abnormal Profiles Detection Based on Time Series and Target Item Analysis for Recommender Systems. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073954
American Medical Association (AMA)
Zhou, Wei& Wen, Junhao& Gao, Min& Ren, Haijun& Li, Peng. Abnormal Profiles Detection Based on Time Series and Target Item Analysis for Recommender Systems. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073954
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073954