LinkedIn's embrace of semantic matching has revolutionized its content search, significantly enhancing the ability to handle complex queries and improving user engagement.
By analyzing our capabilities, we realized our content search engine needed to evolve. We found instances where relevant posts existed, but were overlooked due to keyword limitations.
The introduction of semantic matching enables LinkedIn’s search engine to comprehend query concepts beyond mere keywords, leading to a better response to user inquiries.
Post-implementation, we’ve seen an increase in overall content discovery, with a 10% improvement in on-topic rates and an increase in user sessions on the site.
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