Posts Tagged ‘RestaurantSearch’

How Yahoo’s SearchMonkey Enhances Restaurant Search

Friday, May 30th, 2008

Yahoo’s SearchMonkey is a unique step in opening up search to publishers to enhance the quality of the search experience for consumers. Earlier this week, Alex Iskold over at ReadWriteWeb wrote an interesting post quoting Peter Mika about how meta data needs to be on the page for users to see and experience it. We, at BooRah, have focused not only on extracting structured meta data such as tags, ratings etc., but also inferring relevant meta data from sentiments in user reviews (in restaurants for now) using sentiment extraction technology. The following listing is an example of search result on Yahoo for a popular San Francisco restaurant - Oola.

oola - san francisco - boorah
This first page listing for Oola in San Francisco contains more relevant information for a consumer than any of the other search results on that page. With one click, one can see the restaurant’s menu, make a reservation, write a review, and get discounts!. Also, based on our inferred meta data, the user sees that “ahi tuna appetizers”, “oysters” etc.. are worth exploring at that place. Furthermore, the granularity of the rating helps users that are looking to dine out on special occasions.

To see our enhanced results in Yahoo for your searches,  visit http://gallery.search.yahoo.com/application?smid=wKB and select the “Add Infobar” button .

So, take BooRah’s SearchMonkey implementation for a spin and let us know what you think.