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Search Local’s Accuracy Problems Severe, With Many Causes

Written by Evan Schuman
April 29th, 2010
The potential for search engines to accurately find very specific products in local stores is powerful. But companies that have tackled this space thus far—including Google, Thefind and Milo—have discovered it's a radically more difficult search than they're used to. In testing those and other local inventory search engines, we have found almost no accurate search results, suggesting that the technology still has a long way to go.

All of these companies have quickly admitted their current—to be charitable—accuracy deficits. Milo executives, for example, agreed that their engine needs a lot of work. But they also stressed their efforts in improving inventory accuracy. Although that is certainly important, it should be a Phase Two goal. If someone is asking for a "green vest to wear" and the results are showing videos, books, a glow-in-the-dark safety light and a top response of "Nerf Dart Tag Fury Fire Blasters" (actual search target and results from Milo's engine), the fact that it may be accurate in knowing the number of Nerf Dart Tags a toy store has isn't very helpful.

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