nice talk about various search behaviors. esp page 38:
Kinds of behaviors we see in the data
- Short / Nav
- Topic exploration
- Methodical results exploration
- Topic switch
- Query reform
- Multitasking
- Stacking behavior
Sapere Aude
Tag: presentations
nice talk about various search behaviors. esp page 38:
Kinds of behaviors we see in the data
200 pages of TED sketches
mesch’s slides about keeping browser history and bookmarking working for Ajax based web applications
The 2nd new market to consider is stream processing. On Wall Street everyone is doing electronic trading. A feed comes out of the wall and you run it through a workflow to normalize the symbols, clean up the data, discard the outliers, and then compute some sort of secret sauce. An example of the secret sauce would be to compute the momentum of Oracle over the last 5 ticks and compare it with the momentum of IBM over the same time period. Depending on the size of the difference, you want to arbitrage in one direction or the other. This is a fire hose of data. Volumes are going through the roof. It’s business analytics of the same sort we see in databases. You need to compute them over time windows, however, in small numbers of milliseconds. So, again, a specialized architecture can just clobber the relational elephants in this market. I also believe the same statement can be made, believe it or not, about OLTP (online transaction processing). I’m working on a specialized engine for business data process- ing that I think will be about 30x than the elephants on the TPC-C benchmark.
i don’t like that you cannot link to individual slides. not RESTful at all.
there are now the same amount of chips fabricated each year (10^19) as rice grains harvested, and automated driving could save $500B/year.
Back in the early days of MMORPGs, you met people online who you would play with and they were your friends, but it was cyberspace and real life. Sometimes you had crossovers, but generally you didn’t run into people walking down the street who also played. The difference is with almost 9M players (although 6M are in China) you can now go to a dinner in Silicon Valley or in Berlin and you’ll often find somebody else who plays World of Warcraft. Families play. If you look at the statistics, a huge number of people play who are real-life friends, which is a different than it used to be. So I think that World of Warcraft is similar to what we’ve have been working on for a long time, but it’s a big jump and it’s growing very, very fast. And I think it’s going to grow faster.
some people claim they will be killed by the upload bandwidth cap of most DSL services
a lot of wishful thinking in there, but the nash equilibrium stuff for recommendations is interesting
Are we ready for first life furries?