tag:blogger.com,1999:blog-6569681.post2566925560774751517..comments2024-03-29T05:14:10.903-07:00Comments on Geeking with Greg: Time effects in recommendationsGreg Lindenhttp://www.blogger.com/profile/09216403000599463072noreply@blogger.comBlogger1125tag:blogger.com,1999:blog-6569681.post-12866292563780678212009-07-14T19:02:04.314-07:002009-07-14T19:02:04.314-07:00People *do* rate lower on Mondays on the Netflix d...People *do* rate lower on Mondays on the Netflix data set - at least it's quite visible on the aggregate data. I uploaded two graphs:<br />http://www.flickr.com/photos/danieljean/3721693815/<br />http://www.flickr.com/photos/danieljean/3722506032/<br /><br />Given those patterns it's amazing we can't squeeze more from it.<br /><br />There are other signs that seasonality is a huge factor for Netflix customers. A high number of subscribers cancel their membership in the Spring, but only in the North. In the South, "churn rate" remains stable through the year. Churn is one of Netflix's biggest problems.<br /><br />Instead of taking the average of residuals for a season, I hope someone tries to quantify how much a person is affected throughout the year - how well they adhere to the apparent curve.chebuctonianhttps://www.blogger.com/profile/10053682901911133555noreply@blogger.com