3. Naomi Moneypenny
n.moneypenny@manyworlds.com
Technology forecasting and strategy manager at Shell, consulted at
many Fortune 100 companies since
3000+ followers on
Twitter
3+3 dogs
20+ patents in
adaptive systems
Astrophysicist
Passionate about user adoption and
enterprise collaboration & innovation
@nmoneypenny
wwww.Synxi.com
geek
6. Machine learning is the
most significant
technology trend.
Computers have to get
smarter and anticipate.
Kevin Turner, Microsoft COO, July 2012
@nmoneypenny
wwww.Synxi.com
12. Analysis
Description
Anchor text processing
Anchor text processing analyzes how items in the content corpus are interlinked. It also includes the anchor texts associated with the links in the analysis.
The Analytics Processing Component uses the results of the analysis to add rank points to the items in the search index.
Click Distance
The Click Distance analysis calculates the number of clicks between an authoritative page and the items in the search index. An authoritative page can be a
top level site, for example http://www.contoso.com, or other pages that are viewed as important. You can define Authorative pages in Central
Administration.
The Analytics Processing Component uses the results of the analysis to add rank points to the items in the search index.
Search Clicks
Social Tags
The Search Clicks analysis uses information about which items users click in search results to boost or demote items in the search index. The analysis
calculates a new ranking of items compared to the base relevance.
The clicks data is stored in the Link database.
The Social Tags analysis analyses social tags, which are words or phrases that users can apply to content to categorize information in ways that are
meaningful to them.
In SharePoint Server 2013, social tags are not used for refinement, ranking, or recall by default. However, you can create custom search experiences that use
social tags and the information from this analysis.
Social Distance
The Social Distance analysis calculates the relationship between users who use the Follow person feature. The analysis calculates first and second level
Followings: first level Followings first, and then Followings of Following.
The information is used to sort People Search results by social distance.
Search Reports
The Search Reports analysis aggregates data and stores the data in the Analytics reporting database where it's used to generate these search reports:
•Number of queries
•Top queries
•Abandoned queries
•No result queries
•Query rule usage
The report information is saved in the Search service application, and not with the items in the search index. If you delete the Search service application, the
report information is also deleted.
Deep Links
The Deep Links analysis uses information about what people actually click in the search results to calculate what the most important sub-pages on a site are.
These pages are displayed in the search results as important shortcuts for the site, and users can access the relevant sub-pages directly from the search
results.
15. +
Follow
when you
know sources
of information
that are
generally
relevant
@nmoneypenny
wwww.Synxi.com
?
Search
Discovery
when you
know what
information
you need now
but don’t know
where it is
when you
don’t know
what you
need now
or even know
that it exists
24. Recommendations of
Content, People, and Topics
Relevancy & Quality
Recency
New to you?
Popularity
People like you
Ratings
Inferred Relative Expertise
Personalization
Topic 1
Topic 2
Topic 3
Topic 4
.
.
.
.
.
.
.
.
.
.
.
.
.
Topic N
.
.
.
.
.
.
.
Topic N
Inferred Interests
Topic 1
Contextualization
@nmoneypenny
wwww.Synxi.com
Topic 2
Topic 3
Topic 4
.
.
.
.
.
.
25. The Adaptive IT Stack
®
Learning Layer
Synxi /
Personalization Apps
Social Layer
Social Platforms
Process Layer
Content &
Applications Layer
Cloud
(Internal or External)
@nmoneypenny
wwww.Synxi.com
SharePoint
30. Context Aware
Personalizing and delivering what’s most
relevant to the user’s current activities
Personalization
Recommendations
Machine learningbased inferences
of interests and
expertise
@nmoneypenny
wwww.Synxi.com
Recommend knowledge and expertise
(i.e., content and other users).
Engineered serendipity!
There is a new analytics platform in SharePoint 2013 that completely replaces the Web Analytics service application from SharePoint 2010. We had some very specific reasons why we decided to take this approach. First, there was no ability to do item to item recommendations. For example, users who viewed this item also viewed these three other things. Secondly, it didn’t give us a way to promote search results based on an item’s popularity. This means being able to have items that are viewed more frequently percolate up higher in a set of search results. It also didn’t have a way to account for views of list items – so you couldn’t tell what items in a list were being viewed most frequently. Finally, from a hardware perspective it sometimes required a big server to power the Web Analytics service application, and even at that we hit certain thresholds where there was just more data than we could report on.**********************************************Pg. 121
The new Analytics Processing features in SharePoint 2013 is designed to resolve those issues with these features. You can modify search relevance based on how frequently an item has been viewed – whether from clicking on a search result or just clicking through an item in a site. You can pull up reports directly in a list or library to see how frequently each items has been viewed, both individually and compared to other items in the library. You can look at discussion threads to see which ones are getting the most views, and you can also add this popularity information to page views you create with the Content By Search web part. The model is also extensible so third parties can add new events and track them using the same platform.********************************Pg. 121
The analytics data processing process is done by the search service application in SharePoint 2013. Usage data like views and clicks from normal site traffic activity are combined with click through and other search metrics and then pushed in the analytics reporting database. A small piece of that data – the recent and all time view count info – is also pushed into the search index. That’s what gives you the capability to use that usage info when you’re looking at search results. An analytics processing job is responsible for examining data for clicks, links and tags, as well as aggregating all of the usage data, to create that data for the analytics reporting database.That concludes what’s new in analytics in SharePoint 2013 – now let’s look at a demo.****************************************************************************Pg. 122
The kernel trick comes to rescue
Additionally if no specific context is required, the most relevant content and expertise recommendations can be added to each users MySite or home page to a create a more sticky, truly personalized experience. Recommendations anticipate what users need.
Additionally if no specific context is required, the most relevant content and expertise recommendations can be added to each users MySite or home page to a create a more sticky, truly personalized experience. Recommendations anticipate what users need.