Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities

Due to the limited length of tweets, hashtags are often used by users in their tweets. Thus, hashtag recommendation is highly desirable for users in Twitter to find useful hashtags when they type in tweets. However, there are many factors that may affect the effectiveness of hashtag recommendation, which includes social relationships, textual information and user profiling based on hashtag preference. In this paper, we aim to analyse the effect of these factors in hashtag recommendation on the detected communities in Twitter. In details, we seek answers to the two questions: What is the most significant factor in recommending hashtags in the context of detected communities? How the different community detection algorithms and the size of the communities affect the performance of hashtag recommendation?

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