Volume 10 Number 12 (Dec. 2015)
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JSW 2015 Vol.10(12):1367-1374 ISSN: 1796-217X
doi: 10.17706/jsw.10.12.1367-1374

Implementation of a New Recommendation System Based on Decision Tree Using Implicit Relevance Feedback

Anıl Utku*, Hacer Karacan, Oktay Yıldız, M. Ali Akcayol
Gazi University Computer Engineering Department, Maltepe, Ankara, Turkey.

Abstract—Recommendation Systems (RSs) are used to provide users useful and effective suggestions. Effectiveness of RSs is depend on the quality of the suggestions. In this study, a new RS based on decision tree (DT) using implicit relevance feedback have been developed for movies. User behavior as implied relevance feedback is modeled by clickstreams. The DT constructed by Gini algorithm. The experimental results show that the developed method is successful for effective and useful suggestions.

Index Terms—Recommendation systems, user behavior analysis, collaborative filtering, relevance feedback.

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Cite: Anıl Utku*, Hacer Karacan, Oktay Yıldız, M. Ali Akcayol, "Implementation of a New Recommendation System Based on Decision Tree Using Implicit Relevance Feedback," Journal of Software vol. 10, no. 12, pp. 1367-1374, 2015.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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