Open AccessTHE METHOD OF DETECTING INFORMATION ATTACK OBJECTS IN RECOMMENDATION SYSTEM BASED ON THE ANALYSIS OF RATING TRENDS
Author(s) -
Yelyzaveta Meleshko
Publication year - 2020
Publication title -
innovative technologies and scientific solutions for industries
Language(s) - English
Resource type - Journals
eISSN - 2524-2296
pISSN - 2522-9818
DOI - 10.30837/itssi.2020.13.052
Subject(s) - computer science , object (grammar) , set (abstract data type) , process (computing) , variance (accounting) , recommender system , data mining , task (project management) , series (stratigraphy) , artificial intelligence , information retrieval , paleontology , accounting , management , biology , economics , business , programming language , operating system
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