Wouldn’t it be interesting to do a text analysis of a set of documents, examined word usage, sentence structure, grammar, etc. - and then attempted to determine the gender of the document’s author? Yeah, I thought so, too. Luckily someone else has already done this.
Note to self: Research this more. Who else does work in that area, etc.
Google’s contribution to Valentine’s Day is widely discussed at all kinds of places today.
I don’t think their previous logos/doodles needed much explanation and/or were comparably confusing.
Update: Asked my wife. She’s much more romantic than me. She didn’t understand the explanation either. Oh - and before I even said anything, she was wondering why they were misspelling their name.
Like.com is the first true visual search engine, where the contents of photos are used to search and retrieve similar items.
We believe that there are literally millions of items that are difficult to describe via text-based search and where individual tastes are all over the map — think of your favorite pair of earrings or shoes and what an ordeal it can be to find something new but in a similar style.
We created Like.com to solve the challenge of finding “the perfect you” for a broad range of aesthetic and soft goods.
Like.com utilizes our Likeness Technology™ to create a digital signature that describes the photo’s contents and enables a more accurate search for similar looking items and products.
This is about the most interesting shopping site I have seen lately.
Like.com provides a visual browsing experience. Picking a product results in presentation of other products that share similarities in color and/or shape.
This happens based on the entire product:
As well as based on a selected area of the product (note the small, selected black area on the wristband):
In both examples, the images only depict a small excerpt, of course - the actual number of results is much larger. Anyway - this looks like a very promising application of technology already. Early signs appear good for the company itself as well.
I am looking forward to seeing how they will develop.
Interesting coincidence by the way - just last night I was having a discussion on determining similarities between pictures and their environment, based on theme and/or colors. Visual, contextual matching, if you will.
This is good.
