A Collaborative and Content Based Event Recommendation System Integrated with Data Collection Scrapers and Services at a Social Networking Site
作者： Mehmet Kayaalp , Tansel Özyer , Sibel Tariyan Özyer
关键词:
摘要: There are many activities that people prefer/opt out attending and these events announced for attracting people. An intelligent recommendation system can be used in a social networking site order to recommend according content collaboration assessment. This study is an effort users within site. It any environment. We have environment has been designed as facebook application. Our application also integrated with several web sites. System collects event data from related sites either by using services or scraping. permits rating they attended planned. Given the network between people, tries upcoming users. For this purpose combination of based collaborative filtering used. taken geographical location info concept event.
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