Recommender system for MIR research community
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In this demonstration, we show a recommender system for the Music Information Retrieval (MIR) research community. We extract the key topics and tags by analyzing the ten-year cumulative ISMIR proceedings, and recommend papers and research colleagues to users in an interactive way.
[1] Juan-Zi Li,et al. Query-Focused Summarization by Combining Topic Model and Affinity Propagation , 2009, APWeb/WAIM.