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Saturday, April 25 • 11:10am - 11:30am
Transforming Unstructured Offer Titles

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VigLink helps publishers monetize content by affiliating existing commercial links and automatically identifying product references that can be linked to commercial sites. At VigLink, we have an ever growing catalogue of product offers (~330M) from multiple sources (including e.g. Amazon, Ebay, Shopzilla) and verticals (form Automotive to Consumer Electronics to Home & Garden).

Offers are usually unstructured text items. For many applications where similar offers should be found or offer titles need to be linked to websites, its beneficial to recognize the characteristics of individual offering instead of working on unstructured offer titles directly. In this talk I will discuss what the relevant aspects of an offer are and present an approach to automatically extract these pieces of information. I will also shortly touch upon possible applications on top of such structured offers.



Speakers
KT

Katrin Tomanek

VigLink
Katrin is Sr Data Scientist at VigLink where she develops and optimizes NLP components for product entity recognition, their linking to offer databases, and the transformation of original offer titles into structured information. This includes amongst others statistical modeling, qualitative and quantitative evaluation of ML and NLP components, and A/B testing to determine the impact of improved components on overall business metrics.


Saturday April 25, 2015 11:10am - 11:30am
Speakeasy

Attendees (10)