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A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique
Research article (Information Sciences, 2015) · cited 67× · AI/ML
A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique
Summary
A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique is a scholarly article[1].
Key Facts
A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-item-anomaly-detection-approach-against-shilling-attacks-in-collaborative-recommendation-systems-using-the-dynam
MLA“A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-item-anomaly-detection-approach-against-shilling-attacks-in-collaborative-recommendation-systems-using-the-dynam.
BibTeX@misc{4ortxyz_a-novel-item-anomaly-detection-approach-against-shilling-attacks-in-collaborative-recommendation-systems-using-the-dynam_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-item-anomaly-detection-approach-against-shilling-attacks-in-collaborative-recommendation-systems-using-the-dynam}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique — https://4ort.xyz/entity/a-novel-item-anomaly-detection-approach-against-shilling-attacks-in-collaborative-recommendation-systems-using-the-dynam (retrieved 2026-05-24)
