An ever increasing number of social services offer thousands of diverse events per day.
Users tend to be overwhelmed by the massive amount of information available, especially …

We demonstrate a method for collaborative ranking of future events. Previous work on
recommender systems typically relies on feedback on a particular item, such as a movie …

Nowadays, recommender systems are widely used in various domains to help customers
access to more satisfying products or services. It is expected that exploiting customers' …

Event recommendation is an essential means to enable people to find attractive upcoming
social events, such as party, exhibition, and concert. While growing line of research has …

Most existing recommender systems employ collaborative filtering (CF) techniques in
making projections about which items an eservice user is likely to be interested in, ie they …

The Web has grown into one of the most important channels to communicate social events
nowadays. However, the sheer volume of events available in event-based social networks …

With the rapid growth of event-based social networks (EBSNs) like Meetup, the demand for
event recommendation becomes increasingly urgent. In EBSNs, event recommendation …

The fast development of event-based social networks (EBSN) provides a convenient
platform for recruiting offline participants via online event announcements. Given its ever …

While several approaches to event recommendation already exist, a comparison study
including different algorithms remains absent. We have set up an online user-centric based …

Event recommendation has become an important issue in event-based social networks
(EBSN). In this paper, we study how to exploit diverse relations in an EBSN as well as …