idalab seminar #5: Canonical Trends: Detecting Trend Setters in Web Data

On August 14th 2017, Felix Biessmann gave a talk at idalab about “Canonical Trends: Detecting Trend Setters in Web Data”. The talk was based on a paper that Felix has written in 2012, together with Jens-Michalis Papaioannou (TU Berlin), Mikio Braun (TU Berlin), Andreas Harth (Karlsruhe Institue of Technology):

Much information available on the web is copied, reused or rephrased. The phenomenon that multiple web sources pick up certain information is often called trend. A central problem in the context of web data mining is to detect those web sources that are first to publish information which will give rise to a trend. We present a simple and efficient method for finding trends dominating a pool of web sources and identifying those web sources that publish the information relevant to a trend before others. We validate our approach on real data collected from influential technology news feeds.

Felix Biessmann works as an Machine Learning Scientist at Amazon.

About idalab seminars

We frequently invite leading scholars, data scientists, business experts and big data thought leaders to discuss their work, gain new perspectives and generate fresh insights. idalab seminars are hosted once a month in our office at Potsdamer Straße 68, 10785 Berlin. You can find information about past and upcoming talks here.

Feature Image via: Grandjean, Martin (2014). “La connaissance est un réseau”. Les Cahiers du Numérique 10 (3): 37-54. DOI:10.3166/LCN.10.3.37-54.

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