Using open source Machine Learning packages to augment SharePoint Search results – DRAFT

We have been using external code to augment our SharePoint Search crawl pipeline discovery since about 2011.

Not only does SharePoint allow a simple method to link into the crawling pipeline, it also allows for automated schema addition and re-crawl if one adds a bit of our amazing code.

We use SQL Server to store interim results of discovered topics if the topic extraction code is overloaded. Those data in SQL Server are used to mark the affected documents for re-crawl so that the newly-discovered topics can be added to the search index.

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