First Interview:
Chris Dixon Talks eBay’s Purchase of Hunch
Original post by Ben Popper via betabeat
When it comes to big data and personal recommendations, Hunch and eBay are a match made in heaven. Both work with mountains of unstructured data and hope to improve user recommendations through social signals.
At least, that is what Chris Dixon and eBay CTO Mark Carges had to say in a phone call with Betabeat this morning, following news of the acquisition. But the pair laid out a compelling case for why the purchase makes sense.
“eBay is a very unique retailer,” Mr. Dixon said. “When grandma posts a sweater for sale, it doesn’t have a metadata to help sort and identify it. In working to understand user’s taste on the open web, this is the challenge we have been solving at Hunch.”
Something like 70% of items on eBay don’t have traditional metadata like product IDs. “We have been working with our own data on consumer behavior to power recommendations,” said eBay CTO Mark Carges. “Hunch brings in some really complimentary work that they have been doing with social signals.”
eBay is also unqiue in that it works with both buyers and sellers. “The peer-to-peer nature of their marketplace is very interesting. In the tests we have been running we have found opportunities for sellers to tweak, for example, the kind of camera they are selling in order to meet unfulfilled demand,” Mr. Dixon said.







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