Please use this identifier to cite or link to this item:
Title: A collaborative and content based event recommendation system integrated with data collection scrapers and services at a social networking site
Authors: Kayaalp, Mehmet
Özyer, T.
Özyer, S. T.
Issue Date: 2009
Publisher: IEEE Computer Society
Source: 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009, 20 July 2009 through 22 July 2009, Athens, 77768
Abstract: There are many activities that people prefer/opt out attending and these events are announced for attracting people. An intelligent recommendation system can be used in a social networking site in order to recommend people according to content and collaboration assessment. This study is an effort to recommend events to users within a social networking site. It can be any networking environment. We have used social environment that has been designed as a facebook1 application. Our application has also been integrated with several web sites. System collects event data from several related web sites either by using web services or web scraping. It also permits users rating events they have attended or planned. Given the social network between people, system tries to recommend upcoming events to users. For this purpose a combination of content based and collaborative filtering has been used. We have also taken geographical location info and social concept of an event. © 2009 IEEE.
ISBN: 9780769536897
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record

CORE Recommender


checked on Sep 23, 2022


checked on Sep 24, 2022

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.