DOYJO · Portfolio example
USA Local Search: Search Engine Development
A local and multilingual search network gave Brian Bateman hands-on experience developing crawling rules, location data and search ranking systems.
Work directly with Brian Bateman in Sheboygan, Wisconsin. Serving businesses locally and nationwide.
Project overview
Brian Bateman developed the USA Local Search network beginning in 2003 through SEO LLC. The goal was to make actual local business websites easier to find by location and service.
The project included search-engine development, crawling and ranking rules, local business data, multilingual search and website infrastructure. Building and operating the network gave Brian direct experience with the technical work involved in collecting, organizing and retrieving web information.
This is a historical engineering project. It illustrates custom search development and practical experience with discovery systems, rather than making claims about other search companies’ motives or current ranking algorithms.
This historical case study records the project scope and reported outcomes. The live website and its current services may have changed.
What the project needed
- Create the Best Local Search Engine
- Return Only Results from Actual Local Businesses and Organizations
- Create Algorithms to Prevent Crawling Black-Hole Websites Like Yellow Pages
- Write Algorithmic SPAM Rules to Immediately Downgrade SPAM Websites
- Build Data-Center from Ground Up
What DOYJO delivered
- Network & Configure 54 Front-End Servers & Database Servers
- Install Full Fiber Optic ISP
- Leverage SQL Server Enterprise & SharePoint Portal Server Enterprise
- Install Intelligent Battery & Gas Generator Power Backups
- Re-Write SharePoint Portal Server Enterprise to be Internet Facing
- Develop Search Engine Per State
- Develop Search Engine for Non-Profit Organizations
- Develop Search Engine for Government Agencies
- Develop National Search Engine Drawing Data from Each Local, Organization & Government Entity
- Write Crawl Rules & Ranking Algorithms
Recorded project outcomes
- Created the Most Accurate Local Search Engine in 2004
- Superior Local Search Results to Google's Local Search
- Created Local Search Database by US State
- Created Additional Search Databases for Non-Profit & Government Agencies
- Local, Non-Profit & Government Search Databases Fed the National Search Engine
- Created a Similar Multi-Lingual Search Engine Network for the Liberian Government which Included All Countries of Africa in their Native Languages
- Forced Google to Buy Data for Their Local Search Results
Project details
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