Met Recommendation
Gabriel Gianordoli and John Choi
MET Media Lab
Spring, 2015
To-dos
DATA
-
Get from scrapi:
- Check whether or not object has image
- Check whether or not object is on display
- Get the gallery number (from the website)
- Get the department
- Get the image url
-
Change the data format to:
{
item_id: 16584,
item_title: 'George Washington',
gallery_number: 140/null, // null if object is not on display
department: 'egyptian art'/null,
img_url_web: 'http://...', // null if it doesn't have image?
img_url_big: 'http://...', // null if it doesn't have image?
similar_items: [
{ item_id: 004327, similarity: 0.01 },
{ item_id: 052345, similarity: 0.005 },
...
]
}
- 10 items based on user's collection
- 10 related to the last object the user picked
- 5 random
SERVER-SIDE
-
Program the interface with the data (json file)
-
Program the interface with the user
- Kart
- Combine recommendations for each new item (add latest)
CLIENT-SIDE
-
Visual design
-
Program the data display
-
Program the interaction