@inproceedings{3485606b9878472393944ab210e512b0,
title = "Yerele Duyarli Kiyim Tabanli {\"O}l{\c c}eklenebilir I{\c s}birlik{\c c}i Filtreleme",
abstract = "Neighborhood-based collaborative filtering methods are widely used in recommender systems because of their easy-to-implement and effective nature. One important drawback of these methods is that they do not scale well with increasing amounts of data. In this work we applied the locality sensitive hashing technique for solving the scalability problem of neighborhood-based collaborative filtering. We evaluate the effects of the parameters of locality sensitive hashing technique on the scalability and the accuracy of the developed recommender system.",
keywords = "collaborative filtering, locality sensitive hashing, recommender systems, scalability",
author = "Aytekin, {Ahmet Maruf} and Tevfik Aytekin",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 ; Conference date: 16-05-2015 Through 19-05-2015",
year = "2015",
month = jun,
day = "19",
doi = "10.1109/SIU.2015.7130008",
language = "T{\"u}rk{\c c}e",
series = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1030--1033",
booktitle = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",
}