Title :
The influence of indirect association rules on recommendation ranking lists
Author :
Kazienko, Przemyslaw ; Kuzminska, Katarzyna
Author_Institution :
Inst. of Appl. Informatics, Wroclaw Univ. of Technol., Poland
Abstract :
Association rules are often utilized in Web recommendation systems for creation of suggested items lists. However, lists obtained in this way may be too short. Indirect association rules are introduced to extend classical, direct association rules and supplement the knowledge they contribute. The relation between ranking lists created on the basis of association rules and hyperlinks existing on Web pages has also been examined in the paper.
Keywords :
Internet; data mining; information filters; Web pages; Web recommendation systems; hyperlinks; indirect association rules; recommendation ranking lists; Association rules; Clustering methods; Computer aided instruction; Data mining; Informatics; Itemsets; Navigation; Web pages;
Conference_Titel :
Intelligent Systems Design and Applications, 2005. ISDA '05. Proceedings. 5th International Conference on
Print_ISBN :
0-7695-2286-6
DOI :
10.1109/ISDA.2005.90