Abstract: A new approach based on relevance feedback was proposed for the topic time series similarity search in micro-blogging．By considering whether the user is satisfied with the returned time series,we established an objective function for learning the coefficient of the unique metric,which reflects the user’s accurate interest．Therefore,the approach can provide the user with more satisfying topic time series in micro-blogging．We also developed a topic time series similarity search system in micro-blogging based on the new approach．Experiment results on Twitter data show the effectiveness of our proposed approach.

Key words: Micro-blogging,Topic time series,Similarity search,Relevance feedback