Radiohead Live concert at
direct link:
http://current.com/items/88799980_radiohead_in_rainbows_exclusive_broadcast_performance
it starts in the new year at 01/01/2008 18PM CET and will be repeated 3times
Radiohead Live concert at
direct link:
http://current.com/items/88799980_radiohead_in_rainbows_exclusive_broadcast_performance
it starts in the new year at 01/01/2008 18PM CET and will be repeated 3times
Some information on the status quo of online music in 2007
http://www.last100.com/2007/12/27/digital-music-2007-year-in-review/
found at: http://www.readwriteweb.com/archives/digital_music_2007.php
When I watched some photos last weeke I saw a new mashup called contextwatcher.com
in Flickr it looks like this:
“The weather here was rain. The prognosis is windy and rainy. mild. This photo is uploaded via the ContextWatcher. The context tags are added automatically, e.g. location data may come from a GPS or from GSM cell positioning.”
You will find this here: http://www.iyouit.eu/portal/
You could plug this to your Flickr account and afterwards your GPS tagged photos appear on a map. Ok that was cool one year ago but today nothing special (also my HTC mobile needs about a minute to find the satellite and enable GPS tagging to the camera, but nevertheless it was a cool thing)
Hence, the new thing is that all GPS tagged photos now show context awareness: below the photo you see the weather at this point, available wifi networks or people around this place. This is really a good start for interactive photoalbum. E.g. you could also include travel deals or wikipedia entries (like in google earth). Or more for private pleasure you could build a last.fm mashup, both programs know the date so afterwards you could hear the music which was playing e.g. on your mp3 player or mobile phone when the photo was taken. The Flickr API also allows you some kind of own ideas! Especially a mashups where google Earth is not included like in the 96% of all other mashups
The GSM thing you will find here
http://www.lab.telin.nl/~koolwaaij/showcase/gsmcells/
or “the most interesting” photo (they are all tagged with “contextwatcher”) here
[youtube=http://www.youtube.com/watch?v=szdWPWnnNls&rel=1]
we are just discussing how you could measure the long tail potential of online music stores like Musicload or itunes
Some of the search engines try to built algorythms for this but yet, I did not found any formula for this. But feel free to send me some ideas.
I should be something between context aware search and recommendations and previous data tagging and user rating. Laast.fm or better Musicovery.com already have recommendation systems with automatic generated playlists, not always perfect but a nice thing. especially if you do not want to choose the music on your own. You choose a category and listen. That is more the crowsourcing thing than a scientific approach.
Another page tries to offer a more scientific approach. this delivers Netconcept:
Long Tail Calculation
To recap, the formula to estimate both realized and unrealized search potential is as follows:
[ Pages(unique) x Keywords (per page) x Hits (per keyword) ] / Click-through rate
[ 73,000 pages x 2.4 KPP x 1.9 HPK ] / 4.7% CTR = 7,100,000 total searches
Simplifying this formula produces the following multiple:
[2.4 KPP x 1.9 HPK] / 4.7% CTR = 97
This suggests that, when calculated as a function of unique pages with roughly similar performance indicators, the potential unbranded search traffic for a large website can be estimated as roughly 100 times (over 97 times) the number of unique pages.
Furthermore, the calculated unbranded search potential (7.1 million searches) is roughly 38 orders of magnitude greater than the average site’s brand search universe of 189,000 searches.
Note: These calculations assume that the average client has 73,000 uniquelly crawled pages, 14% yielding traffic, and that 14% gets 4.6 keyword visitors per page with 189,000 brand searches per month.
The call it the “Long Tail KPIs
By associating non-brand keyword performance to producing pages, the Page Yield Theory offers a manageable framework for optimizing performance of the natural search long tail. This framework consists of the KPI’s used and calculated in this study, such as Yielding Pages, Keyword Yield per Page, and Keyword Hit Yield. These metrics provide a scientific assessment of large-scale optimization effectiveness, enabling merchants to more reliably guide optimization effort towards desired outcomes. “
… continue at http://www.netconcepts.com/long-tail-whitepaper/#Capture
Here are some other links of my recent research:
The Netflix prize offers money for anybody who improves the recommendation index of netflix( videoportal) about 10%
It started 2005, but yet, nobody received the 1.000.000,00$
http://www.netflixprize.com//rules
Other pages like the long tail of venture deals use it more for discussion than
http://www.grokdotcom.com/2007/12/12/2007-top-blog-posts/
come great posts are listed!
http://servantofchaos.typepad.com/soc/2007/12/recognizing-out.html
Gavin collected a list of 200 bloggers around the world.
On monday we had a very successful meeting about Web 2.0 usage in the enterprise environment.
Here you will find some images
http://flickr.com/photos/michaelawayfromhome/sets/72157603425611391/
and a mind map from Craig our SAP Developer Network evangelist
http://bubbl.us/view.php?sid=61010&pw=yahxAlYsw3XmQODBJUFRXR1RlV2lQcw
and meeting minutes from twitter
http://webaura.info/eventtrack/?t_event=sapweb20bu
The participants came from SAP, TU Darmstadt and PopAkademie in Mannheim and presented straight forward ideas on web 2.0 things for the Business User.
The participants have been:
Adiyta
Thorsten
Martin
Radim
[youtube=http://www.youtube.com/watch?v=3G_JTMuHOQk&rel=1]