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Quick introduction: My name is Gerhard Schobbe, I'm the Group Program Manager for the team in the SharePoint organization that's focused on search scenarios for Information Workers in the Enterprise.
I'll drill down into each one of those and use some examples to highlight the progress we made. This overview post will then be followed by a series of much more detailed tours behind the scenes of the various subsystems, coming over the next weeks and months.
First, let's take a look at the goal to get to a single enterprise search platform. With the acquisition of FAST in mid-2008 and the subsequent release of Office 2010, the Microsoft SharePoint 2010 product line-up includes a two-tiered search offering where the tiers are based on different technology stacks: SharePoint 2010 includes an enterprise search system based on a codebase developed in Redmond and the higher tier includes FAST Search Server 2010, a system developed based on the FAST technology stack in the wake of the acquisition.
However, it was also clear that a system that could combine the best of both implementations would offer a better enterprise search product all around while simplifying choices for our customers, creating a win-win. Even better, the process of re-thinking the overall architecture also offered the opportunity to integrate several of the modern components that FAST had been working on that had not seen broad release yet, including updated content and query processing frameworks.
The result of this plan, after several years of engineering work, is a system that combines the crawler and connector framework familiar from SharePoint Search with the next-generation content processing and query processing frameworks from FAST, all working in conjunction with a search core based on FAST Search.
The default user experiences for end users and IT administrators are again hosted in SharePoint—where the end-user experience has been completely re-worked from a server-based rendering approach in 2010 to an asynchronous client-side approach (more on that later).
Additionally, we were able to integrate a new analysis engine that serves as the runtime for a variety of jobs including ranking algorithms and recommendations. It's worth mentioning that a lot of work has been done to make the search platform cloud-hosted—it will be powering the O365 service as the latest version is coming online. The following figure shows a graphical summary (click the image to enlarge).
In this release, every search box in every teamsite offers full access to enterprise-wide search, people search, and other specialized search experiences in addition to the traditional scoped site search. Users can access the desired scope from the drop-down list inside the search box.
This puts the power of enterprise-level search experiences at the fingertips of any user working in a team site or one of the various hubs around SharePoint.
A close analysis of several customer query logs that we obtained permissions for showed clearly that many user queries are a mix of keywords and command words, where the latter might indicate the type of result the user is looking for. Another large class of queries were navigational queries in the sense that the expected result was a location, be it a team site, some other website, a document library, or even a particular document the user has already used a few times.
Query Rules allow for several interpretations of the same query. Maybe one interpretation focuses on a type restriction like in the example above, resulting in a set of documents. Another rule could trigger on "Marketing" being a well defined discipline from a dictionary of job categories at a company like Microsoft and so bring back a set of results specifically scoped to the corporate HR repository containing carefully moderated content for each discipline. And, it probably also makes sense to assume that both of those interpretations could be wrong and that the traditional keyword query against the index had the best chance to dig up the right results that the user was looking for. Recombining the three sets of results into a single page led to the concept of result blocks. These augment the single ranked list of individual results with a ranked set of blocks that are inserted at various locations, each block containing individually ranked results.
Again, this whole area requires a much more detailed explanation to show the power of the underlying concepts.
The following screenshot shows an example—the results page for the query "marketing deck" shows a block with the "decks" (the presentations) that match the query "marketing", followed by the regular results for the full query.
It was clear that the attempts to cram even more information into the same amount of pixel space available on screen wasn't going to achieve true improvements in terms of a user's ability to inspect the results quickly to find the best one. The solution became a hover panel that could be made much larger to show visual previews of sites, documents, and conversations. It also gave us room to expand from an experience designed implicitly as a one-way street into reading a document or webpage into an extensible set of actions that users could perform right on the search result. For example, following a document, jumping right into Edit mode, or sharing or opening the library the document is stored in to see what other content is available—and those are just the default actions.
Last but not least, rather than betting only on textual summaries, we enabled the extraction of the semantic sections for several document types, which are shown as powerful "deep links" inside the hover panel. Because it is likely that the slide titles in a PowerPoint presentation were carefully designed by the presenter to summarize the content of each slide, even if the filename is not particularly descriptive.
Together, these improvements create a powerful and highly responsive user experience that is accessible from anywhere in SharePoint, that understands the user query much better, and that delivers highly visual results with direct access to the most granular information inside of sites and documents, and then enables users to act on the results without having to leave the results page.
The following image shows an example of what that experience looks like for a PowerPoint presentation: links to the relevant slide titles inside the file, a visual preview that allows the user to page through the deck interactively and a set of action links along the bottom of the panel.
The third goal was to establish the search platform as a more generalized information access platform.A properly configured enterprise search index constitutes an amazing collection of information available in an enterprise—it crosses the information silos of different document management systems and also normalizes the metadata schema across these systems.
Exposing all this information as an interactive, keyword-driven user experience is nice, but why stop there? There are many information experiences that would benefit from pulling together a user-centric view that disregards the boundaries of the underlying silos and takes advantage of content keyword-based matching and ranking to show the most appropriate items first.
To show what this means, I want to highlight some of the examples that are included by default in SharePoint 2013:
There are many more exciting new features available in this release, like a new way to define types based on rules (for example, a contract should be different than the generic file type "Word"), better out-of-box relevance that is tunable in the UI and via XRANK, eDiscovery that spans SharePoint and Exchange, continuous crawl that keeps content even more fresh, facilities to combine results from O365 tenancies with on-premises results in 'hybrid' configurations, and the system now offers CSOM and RESTful APIs and much, much more.
We hope you like it—sign up for the O365 Preview environment online, or download the bits here and install it on a local machine.
Let us know what you think!