Recommendation Agent for the Real Time Web
Image CC BY (flicker user) verbeeldingskr8
RART
Real Time user generated content, more and more being created on
location using mobile phones
RART: life imitates art
So, if we cant get everyone onto one system, how can we make use
of link their data?
Various systems are out there to aggregate updates and broadcast
updates, and find out if your friends are on facebook
Opensocial is starting to offer easy integration of existing
social data (and opensocial enabled sites have more users than
facebook and myspace combined).
Their are other sources of realtime data as well, such as user
generated content in Augmented Reality social apps (brightkite,
layar, yelp)
Recommendation Agent for the Real Time Web
R.A.R.T.Aggregator for Twitter, Facebook, RSS, blogs and other
Realtime Web sources+With agent based filter and recommendations
=right answer right now
RART will be able to be integrated into the backed or as an
app.
It will use agent based modelling to create models of netizens
from their social profiles and interactions.
It is then constantly analyzing the RT web to see what suits
you, so that when tell your social graph i'm hungry RERT will reply
with the nearby location of a restaurant that other people with
similar preferences have recently tagged as good saving you having
to refer to Yelp, Facebook and Twitter to check reviews, friends
opinions and any last minute updates
RART: Competition
(size indicates breadth of data sources)
Poor user experience ------------------- good user
experience
Raw data ------------------- knowledge
OpenMic
Twitter search
Twendz
RART
Twittersentiment
Moodgrapher
Sysomos
moodview
Evri
Twitscoop
Trendsmap
Twitpics
SoMR (defunct)
RART: uptake
Why will sites and users install RART?
12.5 Billion Friends
RART: Sale of Market Data
Realtime map of consumers movements around a city
Or a simulation of consumer responses to digital marketing
campaign
RART:Key points of difference
Knows more people than you
Personal, not popular
Cross platforms
Ability to use it to model future trends
RART: the problems
Chicken and egg: Currently info is mostly uselessWill be about
two years before data stream has enough usefull contentTime to
develop software and strategic alliances!
RART: the hard word
$120kComplete R&D on the completely new architecture for
engine for personalised recommendations across different
systems.
Launch prototype & Social App. Q2 2010Launch free info
siteGet a CEOGet second (much larger) round of funding
Thanks!
RART: Recomendation Agent for Real Time Web and Real World
EventsJoseph BarrowsWeb and Interactive Video Dev. for 10
[email protected] working on:dontspeakbeep
pimpmynews
Muokkaa otsikon tekstimuotoa napsauttamalla
Muokkaa jsennyksen tekstimuotoa napsauttamallaToinen
jsennystasoKolmas jsennystasoNeljs jsennystasoViides
jsennystasoKuudes jsennystasoSeitsems jsennystasoKahdeksas
jsennystasoYhdekss jsennystaso
