Flavored local activity intent search

From Yenra

On April 28, 2009, Center'd, a website that helps people plan life's activities, released new tools, features and data that help people find things to do in local areas based on their intent. By analyzing millions of conversations about places on the Web, Center'd has created an index of more than a million places that are classified by activity intent. This allows people to quickly discover places and activities that best suit their needs while short-cutting the overload of unstructured local data on the Internet. To highlight the new personal planning information and tools, Center'd has redesigned and enhanced many areas of its site.

Center'd created its unique activity-based index using innovative natural language processing and machine learning technology to analyze millions of conversations across the Web. The index includes inputs from local review sites, aggregators, and blogs through feeds and publicly available sources, as well as data from plans people make using group collaboration tools on Center'd. Based on its data analysis, Center'd has integrated five intent classification styles on its site which include kid-friendly, group-friendly, romantic, cheap, and outdoor. As data continues to be analyzed and classified, more intent styles will be made available on the site.

People can currently find information about restaurants, attractions, shopping and events across the intent styles in a number of areas.

Website: http://www.centerd.com/