Improving the shilling attack detection in recommender systems using an SVM gaussian mixture model
JM Alostad - Journal of Information & Knowledge Management, 2019 - World Scientific
With recent advances in e-commerce platforms, the information overload has grown due to
increasing number of users, rapid generation of data and items in the recommender system …
increasing number of users, rapid generation of data and items in the recommender system …
Improving the Shilling Attack Detection in Recommender Systems Using an SVM Gaussian Mixture Model
JM Alostad - Journal of Information & Knowledge Management …, 2019 - ideas.repec.org
With recent advances in e-commerce platforms, the information overload has grown due to
increasing number of users, rapid generation of data and items in the recommender system …
increasing number of users, rapid generation of data and items in the recommender system …
Improving the Shilling Attack Detection in Recommender Systems Using an SVM Gaussian Mixture Model.
JM Alostad - Journal of Information & Knowledge …, 2019 - search.ebscohost.com
With recent advances in e-commerce platforms, the information overload has grown due to
increasing number of users, rapid generation of data and items in the recommender system …
increasing number of users, rapid generation of data and items in the recommender system …
Improving the Shilling Attack Detection in Recommender Systems Using an SVM Gaussian Mixture Model
JM Alostad - … of Information & Knowledge Management (JIKM …, 2019 - econpapers.repec.org
With recent advances in e-commerce platforms, the information overload has grown due to
increasing number of users, rapid generation of data and items in the recommender system …
increasing number of users, rapid generation of data and items in the recommender system …