Archive for October, 2007
Upcoming events posted by UCL Enterprise Society include:
. Silicon Valley Comes to London: COLLABORATING & DISRUPTING IN A GLOBAL WORLD
. Japan Society for the Promotion of Science – Short Term Awards
I just came back from RecSys ’07, and it was quite an experience. The great thing about the conference was the balance between academic and industry representatives. Researchers from around the world and representatives from some of the most well known recommender systems out there (Amazon, Netflix, MyStrands, etc).. teaching each other that even after a near decade of research, our understanding of recommender systems is only at it’s beginning. (more…)
Epicurus and Progress on Netflix Prize. Very interesting!
The GroupLens blog mentioned something I found very interesting; a Google/IBM partnership is offering university students (from a select number of universities) the chance to develop software for large-scale distributed systems. They will be offering students access to lots of dedicated clusters. The website even offers sample content to help lecturers develop their courses! There is also some stuff on web security. Maybe sometime soon this opportunity will come across the Atlantic..
A recent email on the user-modeling email list is the Artwork Recommender that you can find here. After answering a short questionnaire, you can rate artwork from 1-5 stars, corresponding to “I hate this artwork” to “I like this artwork very much.” Being no artwork expert, I found my ratings of things to be quite biased towards the high end (3/4 stars) – it’s much more difficult to rate artwork than it is to rate movies or songs! They even have the option of saying that you are not interested in a piece of artwork at all, but I never felt like clicking it. Maybe this highlights the difficulty of finding good recommendations: understanding a rating process that users themselves don’t understand. You can also both give an overall rating for items and also rate a particular item in terms of its attributes (artist/material/style).
The website, though, has a neat interface (watch the paintings you rate “fly” into your profile history) and they are looking for participants to add to their dataset, so if you have 5 minutes then go in and rate some 20 or so paintings, help them, and see what comes out…