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A Collaborative and Content Based Event Recommendation System Integrated With Data Collection Scrapers and Services At A Social Networking Site

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dc.contributor.author Kayaalp, Mehmet
dc.contributor.author Özyer, T.
dc.contributor.author Özyer, Sibel T.
dc.date.accessioned 2020-04-27T19:16:05Z
dc.date.available 2020-04-27T19:16:05Z
dc.date.issued 2009-07
dc.identifier.citation Ozyer, Sibel T. untranslated, Kayaalp, M., "A Collaborative and Content Based Event Recommendation System Integrated With Data Collection Scrapers and Services At A Social Networking Site", Proceedings of the 2009 International Conference On Advances in Social Network Analysis and Mining, Asonam 2009, pp. 113-118, (2009). tr_TR
dc.identifier.isbn 978-076953689-7
dc.identifier.uri http://hdl.handle.net/20.500.12416/3429
dc.description.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. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE Computer Society tr_TR
dc.relation.isversionof 10.1109/ASONAM.2009.41 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Collaborative Filtering tr_TR
dc.subject Recommender Systems tr_TR
dc.subject Web Services tr_TR
dc.subject Social Networking (Online) tr_TR
dc.subject Event-Based Social tr_TR
dc.title A Collaborative and Content Based Event Recommendation System Integrated With Data Collection Scrapers and Services At A Social Networking Site tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal Proceedings of the 2009 International Conference On Advances in Social Network Analysis and Mining, Asonam 2009 tr_TR
dc.contributor.authorID 18980 tr_TR
dc.identifier.startpage 113 tr_TR
dc.identifier.endpage 118 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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