dishtip Takes Semantic Web To Next Level

Powerful 3.0 Mashup Performs Deep Analysis on Millions of Reviews to Find Top Dishes Across USA
May 23, 2011 - PRLog -- (San Francisco, CA) dishtip, the premier site allowing users to search for specific food dishes, in order to discover the top dishes and corresponding restaurants, is now displaying the top 100 dishes across the entire USA – information that does not exist on any other website   Using an intelligent web 3.0, semantic-focused mashup, dishtip performs a deep analysis of millions of web based-reviews, photos and content to provide suggestions for the best dishes, offer related search items, as well as filter by such categories as food taste, price and cuisine.

Applying unique quantitative and qualitative computations, delivers relevant results at both the street level, by filtering results within one block of a desired location, as well as the macro level, by analyzing data across an entire country or region.  By widening the search area for a given dish, a user can see how well a particular food item ranks when compared to other dishes across the nation.

“It is exciting to harness the power of the web and perform deep layers of semantic analysis to reveal detailed and relevant information based on millions of sources” said David Schorr, Founder of the website.  “What’s powerful about the top 100 list is if I find a dish in my city that is also ranked highly compared to all dishes across the country, you bet I am going to give it a try.”

Within the Top 100 search results, users have an abundance of additional filtering choices.  For example, users can easily refine their search to only display results such as vegetarian dishes, frozen desserts, side dishes and more.  Additional filters are included for restaurant type and price category.  In essence, whether searching within your city or the entire country, users can refine the results to a level of granularity that does not exist on any other website.

The top 100 dishes across the USA contain a wide variety of food types.  Examples include:

•   Salted Caramel Ice Cream from Bi-Rite Creamery in San Francisco, CA
•   Lobster Rolls from Neptune Oyster in Boston, MA
•   Blueberry Pancakes from Clinton Street Baking Co. in New York, NY
•   Baby Back Ribs from Phil’s BBQ in San Diego, CA
•   Foie Gras Dog from Hot Doug’s in Chicago, IL
•   Pastrami Sandwich from Langer’s Delicatessen in Los Angeles, CA

The top 100 dishes across the USA can be viewed at

Although no site registration is required to use the website, users who do create a free account can start highlighting dishes that they like, don’t like or would like to try.  By creating a personal dish listing, users can then jump right to their own personal profile page to figure out what to eat and where.  

dishtip currently supports over 50 large cities, as well as numerous surrounding areas.

About TipSense, LLC
TipSense, LLC has launched the website to help you figure out what to eat and where.  Using a new web 3.0, semantic-focussed, mashup concept, dishtip suggests the best dishes based on millions of web-based reviews, photos and content.

dishtip allows you to conduct a search on anything related to what you want to eat...from a general category (Chinese or steak or chocolate, for example) to a specific food item (Mac n Cheese or Red Velvet Cupcakes).  dishtip takes that information and identifies not only the best offerings within that category, but also ranks them using an advanced algorithm which analyzes millions of internet-based reviews, photos and content. So you are truly getting recommendations for the best of what you want to eat, as well as a list of where to get it.

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Tags:Dishtip, Semantic Web, Web 3 0, Food Review, Restaurant Review, Top Dishes
Industry:Internet, Technology, Food
Location:San Francisco - California - United States
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