In my research, I am trying to understand how different recommender algorithms behave in different situations. We’ve known for a while that ‘different recommenders are different’1, to paraphrase Sean McNee. However, we lack thorough data on how they are different in a variety of contexts. Our RecSys 2014 paper, User Perception of Differences in Recommender Algorithms (by myself, Max Harper, Martijn Willemsen, and Joseph Konstan), reports on an experiment that we ran to collect some of this data.
I have done some work on this subject in offline contexts already; my When Recommenders Fail paper looked at contexts in which different algorithms make different mistakes. LensKit makes it easy to test many different algorithms in the same experimental setup and context. This experiment brings my research goals back into the user experiment realm: directly measuring the ways in which users experience the output of different algorithms as being different.
Published on 5 October 2014
and tagged with food, recipes.
I love biscuits and gravy. But their traditional form doesn’t work for our family, so over the last months I’ve adapted and refined a recipe for vegan biscuits and gravy that is now our standard Sunday morning breakfast.
This recipe makes enough biscuits for 4 and gravy for 2.
Inspired by a delicious zucchini ratatouille I had at Root Cellar Cafe, I ordered a julienne peeler and bought some vegetables from the farmer’s market tried to make something like it. There is still a bit of refining to do, but it worked pretty well: