Local Search Taxonomy

Eliminate Failed Searches

In a business to consumer local search environment, users want to get relevant results for each and every style search term. Advertisers want their name to come up when a user searches for a products or a services that the advertiser can provide, regardless of what terms or phrases the user searches for.   The challenge for the local search engine or portal is that, often, the terminology entered by the user does not match terms in the database and the user is returned inappropriate results, inconsistent results, or even no results at all.   Variations in entered terminology, word inversions, and lack of synonymous terms, and misspellings are all barriers to returning a results set.   For the user, the advertiser, and the advertising platform provider, failed searches and inaccurate search results in frustration, lost time, and lost money.

A robust local search vocabulary that includes the majority of the exact search terminology entered by users, that is well-structured, and that can take any local search query and point the user to a relevant list of advertisers can solve these problems.   Such a vocabulary is now available from WAND.

Leveraging over a decade of development on the WAND Product and Service Taxonomy, the brand new WAND Local Search Taxonomy enhances the results of local search style engines and portals on the Internet to eliminate failed searches.    The WAND Local Search Taxonomy includes structured local search query terms and meta-data terminology covering nearly all of the queries that are entered by users in a local search environment.  When this rich local search vocabulary is combined with advanced spell check and approximate match search technology, the result is that nearly any search will return a relevant result – providing a satisfying experience for local search users and driving targeted business to local search advertisers.

The following examples show problems with the types of results that are occurring in existing local search environments on the Internet and how the search would be improved by implementing the WAND Local Search Taxonomy.

See an example of improved local search using the WAND Local Search Taxonomy