Discovery Engine for Local Search
 Discovery Engine for Local Search is a high-performance industrial grade search engine designed specifically for the nuances of local search. Discovery Engine was been tuned and adapted over past 10+ years through the experience of dozens of local search applications and billions of local search queries in numerous countries and languages.
The Intelligenx Discovery Engine is specifically designed for structured databases, with built-in features and functionalities that are highly suited for local search publishers.
Discovery Engine incorporates patent-pending search and discovery technology specifically for online yellow pages and Local Search, enabling Google-like full-text search, while retaining a fundamental component of the business - the business categories. By allowing users to search for text and organizing search results into business, product/service, and location categories and refinements, advertisers get more visibility and consumers can find what they are looking for without becoming frustrated from information overload. We call this Search Visibility™.
Why is DE better for Local Search
Beyond the attributes of Discovery Engine, as part of the Local Search Platform, Intelligenx packages a Local Search Library that encapsulates 10+ years and billions of queries of local search experience.
- Designed Particularly for Local Exploits the key features of local seach - business name, business category search, products/service search, location and proximity search. Improved precision and recall, increased search conversion (advertiser leads), redcuced failed search rate.
- Superior Performance and Scalability 100ms response times, 100's queries per second, designed for data and load scale, weather tested, backed by support of a privately owned reliable commercial company with mutli-national presence and reach.
- No Information Overload, Dead Ends or Guesswork DE is designed to put the user first.
- Substantial Cost-Savings and ROI
- Time to Market With open source search engines or search engines not designed specifically for facets - application developers constantly finds themselves having to engineer performance. Whether this means limiting.
Examples of Key Features / Characteristics:
DE's Local Search Library includes the application specific knowledge best practices and learnings for local search. This includes such software, process, meta-data, and methodology. Below are some examples. For a complete set of features and understanding of the Local Searhc Library - please contact us.
| Query Parsing |
Determining business name from business category from location |
| Query Expansion |
Application meta-data like stems, synonyms, phrase based concepts |
| Ranking |
ppropriate precision and recall choices (e.g. search for hotels does not need to return a business that is located near a hotel, but search for "air jordan nike shoes" - can indeed return results for shoe retailers even if the database does not contain information about air jordan's) |
| Failed search handling |
Misppelling correction, spacing invariance, expand the search geography, etc. |
| Use of proximity and location |
Incorporation in ranking, query broadening, and failed search handling |
| Experience in multiple language |
Dozens of languages including multi-byte languages like Arabic and Chinese. |
"If you want to make use of assisted navigation and offer keyword searching, you will want to take a long, hard look at Discovery Engine from Intelligenx."
Author and search guru Stephen E. Arnold
For additional information:
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