After a year-long effort, LinkedIn has finally launched a new search architecture known as ‘Galene’, as per VentureBeat report. It will be used to gather all the economic data around the world and to build the first economic graph. Recently, it has opened new offices in Bangalore and R&D centre in Karnataka. Also, it has launched a revamped version of the profile before two days.
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Linkedin’s engineering director Asif Makhani and principal engineer Sriram Sankar explained how Galene is also supposed to turn search on its head with a “people-centric” approach. Galene also pushes its predecessor, codenamed Lucene, to the background as an indexing layer. The open source library Lucene had some real-time limitations, namely the changes to the index had “to be committed before they are visible to readers of the index.”
Makhani and Sankar wrote:
The Galene search architecture has been design with this long-term vision in mind. Index terms do not have to be terms actually present in the entities. They can be attributes – such as graph edges. In fact, our Member Typeahead vertical already indexes a few different kinds of edges to help in providing social signals for relevance. (As covered by ZDNet)
Using the improved search capabilities of the new architecture, a user can get better tailored results that are heavily personalized; what one user might see in his search results will be different than another user based on one’s own personal information. While this was somewhat possible in LinkedIn’s previous search engine, the new system is clearly faster, explained LinkedIn principal staff engineer Sriram Sankar who authored the blog post detailing Galene along with Asif Makhani, a LinkedIn director of engineering for search.
A diagram of how Galene is built
With the new system, a user can initiate a search query that gets passed from the web front-end interface to the back-end servers, where the Galene architecture does the heavy lifting and shoots the results back to the user. (As reported by GigaOm)
More from LinkedIn: Exploring the Economic Graph: Sophisticated search functionality needs sophisticated interconnected data — provided by LinkedIn’s professional graph. Going forward, we have ambitious plans to further enrich this data by incorporating all the economic data there is in the world — to obtain the world’s first economic graph.
The Galene search architecture has been design with this long-term vision in mind. Index terms do not have to be terms actually present in the entities. They can be attributes — such as graph edges. In fact, our Member Typeahead vertical already indexes a few different kinds of edges to help in providing social signals for relevance. (As mentioned in Venturebeat)
Feature Image Credit: nan palmero
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