1. How Google may Rank Users in Streams
A couple of years ago, Google published a patent that described how the search engine migh rank
user generated content in something like Google Plus. I wrote about that in the post, How Google
Might Rank User Generated Web Content in Google + and Other Social Networks.
The patent described in that post seemed like a good match for Google+, but Google + has gone
through some changes since then, recently being identified as consisting of two parts - Photos and
Streams. A Marketing Land article described the streams part in more detail recently, in the article
The Web Of Streams
Streamed content from a person's social network
A few days ago, Olivier Duffez mentioned my name in a Google+ post he titled How Google+ internal
search engine work? in which he pointed out a Google patent. I responded, promising that I would
take a look at the patent see if it did indeed tell us more about how content at Google+ was being
ranked and rated in searches.
Interestingly, The patent refers to a person's contributions to Google+ as part of an "Activity
Stream", which is what Google recently started calling the stream of content that people share with
each other at Google+.
The patent tells us about an "item-ranking score" for pieces of digital content that gets share, and a
"user-sharing score"which indicates how likely it is that someone else might share content that
2. social network user has shared. A person might interact with content in these ways:
Endorsing an item,
Sharing an item and/or
Commenting on an item.
Some of the advantages of scoring users and scoring items, we are told by the patent:
Users of social networking services may be categorized and/or ranked based on their activity, and
highly interactive users can be provided as recommended contacts to new users of social networking
services. They may also be used to help identify "potentially viral digital content before it goes viral"
The patent is:
Ranking users and posts in social networking services
Invented by Mangesh Gupte, and Kumar Mayur Thakur
Assigned to Google
US Patent 8,972,402
Granted March 3, 2015
Filed: May 31, 2012
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage
medium, for receiving, from computer-readable memory, a particular item of digital content
distributed by a user through a computer-implemented social networking service; identifying, using
the one or more processors, a set of items of digital content distributed by the user through the
computer-implemented social networking service; receiving interaction data from the computer-
readable memory; determining, based on the received interaction data, at least one of a user ranking
score associated with the user and an item ranking score associated with the particular item of
digital content; and storing the at least one of the user ranking score and the item ranking score in
the computer-readable memory.
It appears that in addition to ranking users of a social network, the digital content that they share
might also be ranked, and that can determine the order it is shown in a stream or in response to a
query at Google+.
Yes, this patent does look like it may describe how different users are ranked at Google+ and how
items might be scored by this system determining what gets returned in response to a query. It
doesn't seem like a surprise that content shared by an individual that seems like it encourages
others to share or comment upon that content are the higher ranking users, and content that is the
mos interacted with tends to be the highest scoring items.
How Google may Rank Users in Streams
3. A Google patent that describes how Users in Google+ might be ranked, and content items might be
scored.
http://feedproxy.google.com/~r/seobythesea/Tesr/~3/27lImQn35xY/