Dec
22nd
Sat
22nd
Collaborative Filtering: Why working on static data sets is not enough
As a scientist, it is important to question one’s assumptions. So far, most of the hard Computer Science research on collaborative filtering has used static data sets such as Netflix. Specifically, it is assumed that the recommender systems do not impact the ratings and what items get rated. A related assumption is that polls do not change how people vote (thanks to Peter for this observation).
Yet, people’s preferences are often constructed in the process of elicitation. That is,…
