A time-sensitive user-specific recommendation system for Twitter
نویسنده
چکیده
Most modern analysis of social networks and social media assume a static network. The primary reasons for this are better parameter estimation and simpler inference. However, this assumption often results in very erroneous deductions, especially for local (e.g. user-level analysis). The aim of this project is to explore efficient ways to model the temporal variation of influence on social links in Twitter. Using this temporally sensitive model, we hope to perform better at predicting a user’s interest in a currently trending topic.
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