منابع مشابه
Event Recommendation in Event-based Social Networks
With the large number of events published all the time in event-based social networks (EBSN), it has become increasingly difficult for users to find the events that best match their preferences. Recommender systems appear as a natural solution to this problem. However, the event recommendation scenario is quite different from typical recommendation domains (e.g. movies), since there is an intri...
متن کاملOnline Event Recommendation for Event-based Social Networks
With the rapid growth of event-based social networks, the demand of event recommendation becomes increasingly important. While, the existing event recommendation approaches are batch learning fashion. Such approaches are impractical for real-world recommender systems where training data often arrive sequentially. Hence, we present an online event recommendation method. Experimental results on s...
متن کاملEasyGo: An Event-based Social Network
People attend social events to share hobbies, enjoy networking experience, and build long lasting friendships. However, one may find it difficult to keep track of upcoming events around and look for someone who has common interests to join an event together. In this paper, we present EasyGo, a web-based mashup application which integrates information of events, tickets and group purchasing from...
متن کاملTopical Community Detection in Event-based Social Network
Event-based services have recently witnessed a rapid growth driving the way people explore and share information of interest. They host a huge amount of users’ activities including explicit RSVP, shared photos, comments and social connections. Exploiting these activities to detect communities of similar users is a challenging problem. In reality, a community in event-based social network (ESBN)...
متن کاملSocial Event Detection Via Sparse Multi-modal Feature Selection and Incremental Density Based Clustering
Combining items from social media streams, such as Flickr photos and Twitter tweets, into meaningful groups can help users contextualise and effectively consume the torrents of information now made available on the social web. This task is made challenging due to the scale of the streams and the inherently multimodal nature of the information to be contextualised. We present a methodology which...
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2018
ISSN: 1875-6883
DOI: 10.2991/ijcis.11.1.48