A Decision Tree Based Recommender System

Amir Gershman, Amnon Meisels, Karl Heinz Lüke, Lior Rokach, Alon Schclar, Arnon Sturm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations


A new method for decision-tree-based recommender systems is proposed. The proposed method includes two new major innovations. First, the decision tree produces lists of recommended items at its leaf nodes, instead of single items. This leads to reduced amount of search, when using the tree to compile a recommendation list for a user and consequently enables a scaling of the recommendation system. The second major contribution of the paper is the splitting method for constructing the decision tree. Splitting is based on a new criterion - the least probable intersection size. The new criterion computes the probability for getting the intersection for each potential split in a random split and selects the split that generates the least probable size of intersection. The proposed decision tree based recommendation system was evaluated on a large sample of the MovieLens dataset and is shown to outperform the quality of recommendations produced by the well known information gain splitting criterion.

Original languageEnglish
Title of host publication10th International Conference on Innovative Internet Community Services, I2CS 2010 - Jubilee Edition 2010
Subtitle of host publicationProceedings
EditorsGerald Eichler, Peter Kropf, Ulrike Lechner, Phayung Meesad, Herwig Unger
PublisherGesellschaft fur Informatik (GI)
Number of pages10
ISBN (Electronic)9783885792598
StatePublished - 2010
Externally publishedYes
Event10th International Conference on Innovative Internet Community Services, I2CS 2010 - Bangkok, Thailand
Duration: 3 Jun 20105 Jun 2010

Publication series

NameLecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
ISSN (Print)1617-5468


Conference10th International Conference on Innovative Internet Community Services, I2CS 2010

Bibliographical note

Publisher Copyright:
© 2010 Gesellschaft fur Informatik (GI). All rights reserved.


The project was funded and managed by Deutsche Telekom Laboratories as part of the Context-Aware Service Offering and Usage (CASOU) project.

FundersFunder number
Context-Aware Service Offering and Usage
Deutsche Telekom Laboratories


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