Full text search is easy to use. But the inherent ambiguity of natural languages causes search results to be biased with false positives. To obtain more accurate results, we need to change the approach and provide more domain specific data to the search engine.
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At Evojam we always seize opportunities for R&D. So when a former client asked us for cooperation on an existing project, which involved a 1 billion member social network, we jumped at the opportunity. We joined the team and did our best to fix bugs and solve data consistency, performance and reliability issues. Additionally, we presented a more effective approach to the application’s architecture. This article briefly covers our journey through the 1 billion member social network.