Just found an interesting post at Bing team blog written by Duane Forrester, a Senior Product Manager at Bing. On this post, Forrester shows a diagram on how social works with the decision engine. Forrester also explains the plus and minus of social networking content and data and how those dataset will benefit the decision engine. Click here to read the full report.
The diagram starts with the source of social media data which were collected from Facebook and Twitter, as users clicking and liking content. Later the decision engine’s robots will automatically collect, process, and index all necessary contents to give scores of important. As users are conducting search, the decision engine will propagate data collected from friends and family and merge those information into search results pages.
(Diagram: Bing team blog)
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