Agreed, reputation is a huge topic and not one to be considered lightly.
There's a large volume of experience (e.g., Slashdot, Digg, eBay,
Amazon) and analysis (see the academic literature) on such systems, but
IMHO the devil really is in the details here (what kind of community
context can you assume, etc.).
Peter
--
Peter Saint-Andre
https://stpeter.im/
Agreed, reputation is a huge topic and not one to be considered lightly.
There's a large volume of experience (e.g., Slashdot, Digg, eBay,
Amazon) and analysis (see the academic literature) on such systems, but
IMHO the devil really is in the details here (what kind of community
context can you assume, etc.).
it almost seems like its own namespace-x-
+1 to stats. And especially to life-of-account, as this is expensive to game without a time machine.
Note that even with minimal context, it is possible to do useful
statistical analysis and classification based on these types of
features.
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It is important to share this information when we exchange user
generated content so the external parties have some idea on the value
of the content when surfaced to their users. Activities/Tweets are
fairly compact so there is not a lot to match on. Who the author is
adds value and how others respond to him/her definitely adds value. I
would love to get more feedback on what others think good metrics are
For now http://userlabor.org/ looks very aligned with what we want.
The only piece that I do not understand is network given that it seems
they do not account for bidirectional and unidirectional relationships
or how to calculate the values below for density, betweenness and
closeness... I am assuming its out of 1 ? Ha if the authors are on
this mailing list, let us know.
<network>
<item object="connection">269</item>
<item object="density">0.101</item>
<item object="betweenness">0.225</item>
<item object="closeness">0.700</item>
</network>
On a closely related note, many sites have asked us to add "sign up date" as well as other reputation attributes to our OpenID service, mostly for anti-abuse purposes. This would be a useful AX attribute, especially if OPs are willing to standardize on this.
Allen
Chris Messina wrote:
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<title>Facebook | Barack Oboe</title>
<link>http://mit.facebook.com/profile.php?id=619187456</link>
<description>Barack Oboe's profile on Facebook.</description>
<pubDate>Thu, 06 Feb 2008 20:55:01 GMT</pubDate>
<user>Barack Oboe</user>
<memberSince>Thu, 01 Jun 2005 20:00:01 GMT</memberSince>
<record>
<actions> <item object="TotalCQ" verb="CQ">12335</item> * Total value of all contribution actions (own and received activities) of a user at this moment (aging) <item object="photo" verb="TQ">123</item> * Total of all CQ activities values of this user for all content objects tagged with "photo"
</actions>
<reactions> <item object="TotalPQ" verb="PQ">12345</item> * Total value of all participation activities of a user at this moment (aging) <item object="photo" verb="TQ">18</item> * Total of all PQ activities values of this user for all content objects (own and others) tagged with "photo"</reactions>
impossibility) of the subject matter — especially when applying it to two
I looked at UserLabor a long time ago and had hopes that it could be the model for Activity Streams. Their model ended up being a bit too esoteric and original for my tastes, and hence our work was born.
APML also tried to provide a mechanism for weighting tags some time ago, but that's not quite what we want either.
I worry a little about reaching beyond the core of what Activity Streams were designed to do, but I understand Monica's desire to meet developer's thirst for more data about the actor.
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Thanks for the great feedback guys, this is the benefit of
brainstorming in the open :P.
So yes I agree to ditch the term reputation. Reputation implies
subjectivity and this data I am trying to convey is very specific.
On Mon, Nov 23, 2009 at 5:50 AM, Kaliya * <identi...@gmail.com> wrote:I think there's a subtle difference between trust and reputation.
>
>
> On Wed, Nov 18, 2009 at 8:57 AM, Monica Keller <monica...@gmail.com>
> wrote:
>>
>> Thanks for the great feedback guys, this is the benefit of
>> brainstorming in the open :P.
>>
>> So yes I agree to ditch the term reputation. Reputation implies
>> subjectivity and this data I am trying to convey is very specific.
>
> This is great news.
>
> I have been concerned for some time with the use of the word reputation used
> to describe "numbers" when it is not really possible to capture it in
> numbers.
>
> Reputation is a subjective judgment we make in our heads with a range of
> information we have about people based on our own personal interactions and
> information we can find out about people/organizations/sites.
Technically trust can be mapped to a number [0,1] which is the
probability that a certain (future) action will be performed as
expected.
Reputation is the set of data that is used to calculate a trust score.
Data is of various types. Observed and Reported is one axis.
Individual and group is another. The mapping of reputation events
onto a trust store can be extremely complex, and will indeed involve
subjectivity or "value system".
That's not to say you cant produce
useful metrics depending on the subsystem you are building. Ideal is
to put the data out there and allow people to work out the best
algorithms that suit.
On Mon, Nov 23, 2009 at 6:04 AM, Melvin Carvalho <melvinc...@gmail.com> wrote:
On Mon, Nov 23, 2009 at 5:50 AM, Kaliya * <identi...@gmail.com> wrote:I think there's a subtle difference between trust and reputation.
>
>
> On Wed, Nov 18, 2009 at 8:57 AM, Monica Keller <monica...@gmail.com>
> wrote:
>>
>> Thanks for the great feedback guys, this is the benefit of
>> brainstorming in the open :P.
>>
>> So yes I agree to ditch the term reputation. Reputation implies
>> subjectivity and this data I am trying to convey is very specific.
>
> This is great news.
>
> I have been concerned for some time with the use of the word reputation used
> to describe "numbers" when it is not really possible to capture it in
> numbers.
>
> Reputation is a subjective judgment we make in our heads with a range of
> information we have about people based on our own personal interactions and
> information we can find out about people/organizations/sites.
Technically trust can be mapped to a number [0,1] which is the
probability that a certain (future) action will be performed as
expected.
Trust is a feeling that is generated by a whole complex of human social interactions.
People are designed to read and manage face to face human social interactions - we have evolved for millions of years to do this.