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Collaborative filtering resources
- python_kiss 20y agoGreat link! Google has some great research publications as well that I recommened everyone checkout: http://labs.google.com/papers.html They have an amazing collection of research papers based on their products. Personally, I recommend "Evaluating similarity measures: a large-scale study in the Orkut social network" as a preliminary mathematical introduction to user interfaces.
- amichail 20y agoThe problem with collaborative filtering is that there's a lot of magic going on that the user does not understand. Some users like to have more control over personalized recommendations and social networks can give them that control.
- python_kiss 20y agoThat website has some great case studies available on recommender systems available for finding "music", "content", etc. I would much rather prefer that a computer do my work than myself. Web users have a terrible attention span so such a system would work to their benefit by eliminating the need to click-and-find content. For anyone interested, I expressed my ideas on collaborative filtering here: http://www.socialdegree.com/2007/01/15/interview-w-shuzakcom-founder-jawad-shuaib/
- jwp 20y agoFrom what I can tell a lot of this CF stuff starts with a machine learning algorithm and data about likes/dislikes, making filtering a classification or search task. Is there something that differentiates it from the usual machine learning challenges? Like dealing with users interactively, perhaps?