Wednesday, July 11, 2007

Average box office per movie: total chaos

Cory Doctorow: This chart, showing the per film/per year box office for Hollywood movies from 2000-2006, is the biggest laugh I've had all day. We always hear about how entertainment execs earn their giant salaries by being incredibly shrewd selectors and marketers of motion pictures, but this chart shows that you could get the same result by throwing dice. Link (via Wonderland)

Update: Adam found this great chart, showing box office gross adjusted for inflation -- the field peaked in 1939, with Gone the With the Wind in top place, with an adjusted gross of $450.5 million. The only movie from later than 1990 in the top ten is Titanic.

Update 2: Adam sez, "The figure listed for Gone with the Wind is adjusted to 1977 dollars...when adjusted to 2007, it's the much more impressive $1,329,453,600."

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MIT: The iPhone's Untapped Potential

c77-7-10-07.jpg Core77 picks up on a June MIT Technology Review article describing some of the unrealized potential in the iPhone.

"Turns out that, in addition to having the interface to kill all portable interfaces, it is tricked out with a number of just slightly utilized sensors; specifically an accelerometer, an ambient light meter, and an IR motion sensor.

While Apple has applied these to the admirable goal of rotating your screen and adjusting your brightness for you, some other smart people have already been busy using them for more creative ends. Like learning about human nature."
Start with the iPhone, Work Back to Human Nature
Posted by: Carl Alviani on Tuesday, July 10 2007

c77-7-10-07.jpg

MIT Technology Review put a brief article up at the end of June describing some of the unrealized potential in the iPhone. Turns out that, in addition to having the interface to kill all portable interfaces, it is tricked out with a number of just slightly utilized sensors; specifically an accelerometer, an ambient light meter, and an IR motion sensor. While Apple has applied these to the admirable goal of rotating your screen and adjusting your brightness for you, some other smart people have already been busy using them for more creative ends. Like learning about human nature.

Now, take a step back: Accelerometers are motion detectors--they get used to help measure distance walked (pedometers) and the intensity of car crashes (impact meters), among other things. Some creative designers have figured out how to make them fun (Nintendo Wii). It's not a huge stretch to combine this sort of data with light, motion and sound sensing to start getting a picture of what a user is doing all day, moment to moment. Standing, sitting, and walking have recognizable signatures, and from there it's a short computational step to recognizing when a user is cooking, working, hanging out, shopping, etc. It's like a diary, but honest. It's like Twitter, but less irritating.

Now, take another step back: Once again, MIT researchers are way ahead of us. Here's a study group called Reality Mining that's been gathering data in this manner from study participants since 2004, combining it with data on proximity sensing between users, and analyzing the hell out of it. Findings are ongoing, but what's already there is massively intriguing. Social networking in the real world has a statistical signature, and measurable patterns called Eigenbehaviors start emerging. It's still mostly in the realm of statisticians and analysts, but the trajectory points insistently toward a new and powerful tool for designers.

Potential applications are significant for....well, who aren't they significant for? Consumer electronics designers looking for new interface methods; medical and fitness product designers looking for better ways to get information from users to devices; design researchers who want higher quality data from a less-intrusive method: pay attention. Things are changing.

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JetBlue Uses 'Simpsons' Sweeps as Reward

Things that make you go "huh?" By Amy Johannes

JetBlue is promoting "The Simpsons" movie with a sweeps and extends its tie-in as the official airline of Springfield, the characters' hometown.
JetBlue Airways is kicking off its partnership with "The Simpsons Movie" with a sweepstakes overlay for loyalty program members and an unusual tie to the characters' hometown. The sweepstakes is part of a larger marketing effort to promote the Twentieth Century Fox film. JetBlue has been named the "Official Airline of Springfield." As such, the company will launch its first specialty aircraft, dubbed "Woo-Hoo, JetBlue" at a press event on July 17 in Burbank, CA. The plane, which features an image of Homer and a logo with the company's Springfield status, will be in service that day and added to the regular flight rotation schedule, the company said.

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Tuesday, July 10, 2007

Word of Mouth

Women: share/whisper -- for them to share/whisper to their friends about something, it has to give them a temporary advantage that they want to cure by having their friends get the same advantage as quickly as possible (e.g. did you know there is a secret sale at Jimmy Choo? here's how you get it).

Men: brag -- for them to brag to their friends about something, it has to give them a temporary advantage to articulate (e.g. my new barbecue gets as hot as 1500 C); then their friends have to figure out how to equalize themselves or one-up them a bit further (e.g. mine does 1700 C).

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search engines - vertical search niche search

The List, April 2007

Search Engine name URL Category
Accoona www.accoona.com A.I. Search (HM)
AfterVote (SEM) www.aftervote.com Social Search
Agent 55 www.agent55.com MetaSearch
AllTha.at www.allth.at Continuous Search
AnswerBus www.answerbus.com Semantic Search
Blabline www.blabline.com Podcast Search
Blinkx* www.blinkx.com Video Search
Blogdigger www.blogdigger.com Blog Search
Bookmach.com* www.bookmach.com Bookmark Search
ChaCha* (#1 2006) www.chacha.com Guided Search
ClipBlast!* www.clipblast.com Video Search
Clusty* www.clusty.com Clustering Search
CogHog www.infactsolutions.com/projects/coghog/demo.htm Semantic Search
Collarity* www.collarity.com Social Search (HM)
Congoo* www.congoo.com Premium Content Search
CrossEngine (Mr. Sapo)* www.crossengine.com MetaSearch
Cydral http://en.cydral.com Image Search (French)
Decipho* www.decipho.com Filtered Search
Deepy www.deepy.com RIA Search
Ditto* www.ditto.com Visual Search
Dogpile www.dogpile.com MetaSearch
Exalead* www.exalead.com/search Visual Search
Factbites* www.factbites.com Filtered Search
FeedMiner www.feedminer.com RSS Feeds Search
Feedster www.feedster.com RSS Feeds Search
Filangy www.filangy.com Social Search
Find Forward www.findforward.com Meta Feature Search
FindSounds* www.findsounds.com Audio Search
Fisssh! www.fisssh.com Filtered Search (HM)
FyberSearch www.fybersearch.com Meta Feature Search
Gigablast* www.gigablast.com Blog Search
Girafa* www.girafa.com Visual Display
Gnosh www.gnosh.org Meta Search
GoLexa www.golexa.com Meta Feature Search
GoshMe* (SEM) www.goshme.com Meta Meta Search
GoYams* www.goyams.com Meta Search
Grokker* www.grokker.com Meta Search
Gruuve www.gruuve.com Recommendation Search
Hakia www.hakia.com Meaning Based Search
Hyper Search http://hypersearch.webhop.org.90.seekdotnet.com Filtered Search
iBoogie www.iboogie.com Clustering Search
IceRocket* www.icerocket.com Blog Search
Info.com www.info.com MetaSearch
Ixquick* www.ixquick.com Meta Search
KartOO* www.kartoo.com Clustering Search
KoolTorch (SEM) www.kooltorch.com Clustering Search
Lexxe* www.lexxe.com Natural Language Processing (NLP)
Lijit www.lijit.com Search People
Like* www.like.com Visual Search
LivePlasma* www.liveplasma.com Recommendation Search (HM)
Local.com* www.local.com Local Search
Mamma www.mamma.com MetaSearch
Mnemomap www.mnemo.org Clustering Search
Mojeek* www.mojeek.com Custom Search Engines (CSE)
Mooter* www.mooter.com Clustering Search
Mp3Realm http://mp3realm.org MP3 Search
Mrquery www.mrquery.com Clustering Search
Ms. Dewey* www.msdewey.com Unique Interface (HM)
Nutshell www.gonutshell.com MetaSearch
Omgili www.omgili.com Social Search
Pagebull* www.pagebull.com Visual Display
PeekYou www.peekyou.com People Search
Pipl http://pipl.com People Search
PlanetSearch* www.planetsearch.com MetaSearch
PodZinger www.podzinger.com Podcast Search
PolyMeta www.polymeta.com MetaSearch
Prase www.prase.us MetaSearch
PureVideo www.purevideo.com Video Search (HM)
Qksearch www.qksearch.com Clustering Search
Querycat http://querycat.com F.A.Q. Search (HM)
Quintura* www.quintura.com Clustering Search
RedZee www.redzee.com Visual Display
Retrievr http://labs.systemone.at/retrievr/ Visual Search
Searchbots www.searchbots.net Continuous Search
SearchKindly www.searchkindly.org Charity Search
Searchles* (DumbFind) www.searchles.com Social Search
SearchTheWeb2* www.searchtheweb2.com Long Tail Search
SeeIt www.seeit.com Image Search
Sidekiq* www.sidekiq.com MetaSearch
Slideshow* http://slideshow.zmpgroup.com/ Visual Display
Slifter* www.slifter.com Mobile Shopping Search (HM)
Sphere www.sphere.com Blog Search
Sproose www.sproose.com Social Search
Srchr* www.srchr.com MetaSearch
SurfWax* www.surfwax.com Meaning Based Search
Swamii www.swamii.com Continuous Search (HM)
TheFind.com* www.thefind.com Shopping Search
Trexy* www.trexy.com Search Trails
Turboscout* www.turboscout.com MetaSearch
Twerq www.twerq.com Tabbed Results
Url.com* www.url.com Social Search
WasaLive! http://en.wasalive.com RSS Search
Web 2.0* www.web20searchengine.com Web 2.0 Search
Webbrain* www.webbrain.com Clustering Search
Whonu?* www.whonu.com MetaSearch
Wikio* www.wikio.com Web 2.0 Search
WiseNut* www.wisenut.com Clustering Search
Yoono* www.yoono.com Social Search
ZabaSearch* www.zabasearch.com People Search
Zuula* www.zuula.com Tabbed Search (HM)

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