Finding Matches in Big Data: From Music Recommendation to Funding Research
(11/25/2013) 10 minutes


Discussion of the big data problem of recommending good matches from large databases. In my personal research in the area of music recommendation, solving this problem allows to provide relevant or similar song recommendations, given a user query consisting of one or more seed songs (e.g., playlist generation for online radio). This big data problem is also core and center to an effort I recently started, to provide academic researchers with access to alternative funding sources, by using data-driven algorithms to match researchers with philanthropists and create long-term engagements.

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