Yerele Duyarli Kiyim Tabanli Ölçeklenebilir Işbirlikçi Filtreleme

Translated title of the contribution: Locality sensitive hashing based scalable collaborative filtering

Ahmet Maruf Aytekin, Tevfik Aytekin

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

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.

Translated title of the contributionLocality sensitive hashing based scalable collaborative filtering
Original languageTurkish
Title of host publication2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1030-1033
Number of pages4
ISBN (Electronic)9781467373869
DOIs
Publication statusPublished - 19 Jun 2015
Externally publishedYes
Event2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey
Duration: 16 May 201519 May 2015

Publication series

Name2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

Conference

Conference2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/TerritoryTurkey
CityMalatya
Period16/05/1519/05/15

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