On October 23rd, 2014, we updated our
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Positive Correlation between the
number of reviews and the average
rating, as expected.
OUTLINE OF STEPS IN R (CONT)
Regularized the scores, reducing variance
Given a movie, found highest similarity scores with other
Also: Created functions that solicit and act on user input
Also: Found highest similarity scores for movies in same
Average user review largely unchanged by data trimming.
Most movie pairs have fewer than
50 common reviewers. More
movies have 10-19 than 0-9 common
Conway, Drew, and John Myles. White. Machine Learning for Hackers.
Sebastopol, CA: O'Reilly Media, 2012. Print.
Do We Really Need Chocolate Recommendations? 18 Oct. 2013.
AC209 Homework Set #4. Harvard University, Cambridge, MA.
R Development Core Team (2011). R: A language and environment
statistical computing. R Foundation for Statistical Computing, Vienna,
Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.
"Recommendation System in R." Yhat. N.p., 19 June 2013. Web. 03
Dec. 2013. <http://blog.yhathq.com/posts/recommender-system-inr.html>.