Microsoft adCenter Labs has a demographics prediction engine. Based on a person’s search queries and web sites visited, it can predict their gender and age.
So I tried that on parts of the body, to see what men were interested in vs women.
| topic | male | female |
|---|---|---|
| hair | 25% | 75% |
| eyes | 33% | 67% |
| cheek | 33% | 67% |
| hands | 33% | 67% |
| lips | 36% | 64% |
| ears | 39% | 61% |
| fingers | 40% | 60% |
| forehead | 42% | 58% |
| nose | 43% | 57% |
| neck | 46% | 54% |
| beard | 55% | 45% |
| moustache | 58% | 42% |
| leg | 60% | 40% |
| palm | 61% | 39% |
| toe | 64% | 36% |
While I can understand men being more interested in beards and moustaches (perhaps even legs), why are they far more interested in toes than women?
Hey Anand, a quick question.
Are you using Google Spreadsheets? Yesterday, I realized that after the initial enthu, I have not visited the site. This makes me wonder if Google Spreadsheets in itself is a powerful enough solution to attract the masses.
As pointed out by someone on Slashdot, try using the URL http://www.google.com/ as the input and you will get “Female Oriented with following Confidence: Female 1.00, Male 0.00”
I do use Google spreadsheets. Just see my next post.