Inferring Dynamic User Interests in Streams of Short Texts for User Clustering

Keyphrases

• User Clustering 100%
• Dynamic Interests 100%
• Topic Distribution 75%
• Distribution-based 37%
• Long Documents 25%
• Term Dependency Model 25%
• Long-range Dependence 25%
• User Topic 25%
• Content-based 25%
• Social Media 12%
• Tweets 12%
• Gibbs Sampling 12%
• Multiple Time Periods 12%
• Sparse Data 12%
• Dynamic Topics 12%
• Track Changes 12%
• User Dynamics 12%
• Clustering Algorithm 12%
• Pattern Search 12%
• Dynamic Users 12%
• Clustering Results 12%
• Dynamic Nature 12%
• Browsing Patterns 12%
• User Posts 12%
• Clustering Model 12%
• Word Pairs 12%
• Evaluation Purposes 12%
• Common Interest 12%

Computer Science

• Term Dependency 100%
• Experimental Result 33%
• Sampling Algorithm 33%
• Clustering Algorithm 33%
• Clustering Result 33%
• Dynamic Nature 33%
• Pattern Search 33%
• Gibbs Free Energy 33%