Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5180
Title: Performance comparison of combined collaborative filtering algorithms for recommender systems
Authors: Tapucu, Dilek
Kasap, Seda
Tekbacak, Fatih
Keywords: Recommender systems
Collaborative filtering
Algorithms
Data handling
Combined solution
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Tapucu, D., Kasap, S., and Tekbacak, F. (2012, July 16-20). Performance comparison of combined collaborative filtering algorithms for recommender systems. Paper presented at the 36th Annual IEEE International Computer Software and Applications Conference Workshops. doi:10.1109/COMPSACW.2012.59
Abstract: Recommender systems have a goal to make personalized recommendations by using filtering algorithms. Collaborative filtering (CF) is one of the most popular techniques for recommender systems. As usual, huge number of the datasets on the Internet increase the amount of time to work on data. This challenge enforces people to improve better algorithms for processing data with user preferences and recommending the most appropriate item to the users. In this paper, we analyze CF algorithms and present results for combined user-based/item-based CF algorithms for different size of datasets. Our goal is to show combined solution results using Loglikelihood, Spearman, Tanimoto and Pearson algorithms. The contribution is to describe which user based CF algorithms and user/item based combined CF algorithms perform better according to dataset, sparsity, execution time and k-neighborhood values. © 2012 IEEE.
Description: 36th Annual IEEE International Computer Software and Applications Conference Workshops, COMPSACW 2012; Izmir; Turkey; 16 July 2012 through 20 July 2012
URI: http://doi.org/10.1109/COMPSACW.2012.59
http://hdl.handle.net/11147/5180
ISBN: 9780769547589
ISSN: 0730-3157
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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