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Item-Based Collaborative Filtering Recommendation …

Item-BasedCollaborativeFilteringRecommen dationAlgorithmsBadrul Sarwar, GeorgeKarypis, JosephKonstan,andJohnRiedl !#" $&% '( )* ' (GroupLensResearchGroup/Army HPCR esearchCenterDepartmentofComputerScience andEngineeringUniversityofMinnesota,Minn eapolis, MN55455 ABSTRACT+ % )*)* , - . )* / !0 & 1 2! 3 4 % 5 - 6 %87 :9;( < 7 = > ! )? 1 : 3& - , !: B * -% )*)* : C@D @# )A / E 1 ( %- F G 8 5 % - H ( 3I J! 5 K ; - %8 : /'L7 M -)* , %- N ! ! J 7 F ;OP & 3 71> 6% !:!: > O 5 RQ,!0 - 3S>, H - % 7 51 32 2 : H ( %-% T 7 KUV > 'L7 K )* - , ( F3 7W : X 7 * )* ( ; H @S 5 !0O > ! F @D )A I Y 7 < 1( )Z> 8 = @E51 : 0 2 GUV >Y 0 2 : -% ; T ; T [ )* 4 - H% 7, !:! 3 T@D [ % )*)* , - C O -)* 'L7 M \R 1 ( %- : 3K7 3 7]9;(, !]

Item-Based Collaborative Filtering Recommendation Algorithms Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl !#"$&% ' ( )* ' (GroupLens Research Group/Army HPC Research Center Department of Computer Science and Engineering

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