Activeness and Loyalty Analysis in Event-Based Social Networks
نویسندگان
چکیده
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...
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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...
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Many studies have found that the perceived authenticity of cultural and religious events affects event satisfaction and loyalty. Little is currently known about how perceived authenticity is affected by the facilities, such as food and the availability of information, which are independent determinants of satisfaction and loyalty. This study aims to examine the antecedents of event loyalty. Que...
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Social networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics. As a result, they can be seen as a potentially viable source of information to understand the current emerging topics/events. The ability to model emerging topics is a substantial step to monitor and summarize the information originating from social...
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ژورنال
عنوان ژورنال: Entropy
سال: 2020
ISSN: 1099-4300
DOI: 10.3390/e22010119