Collaborative filtering algorithms are used to predict whether a given individual might like, or purchase, an item. One popular approach is to find a set of individuals (e.g. customers) whose item preferences (ratings) are similar to those of the given individual over a number of different items. The attention then shifts to an item which the given individual has NOT purchased or rated. The ratings of the similar group are aggregated for that missing item, and that aggregate rating is then used as the prediction for the given individual.
Browse Other Glossary Entries
Planning on taking an introductory statistics course, but not sure if you need to start at the beginning? Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that course. If you get all or almost all the questions correct, move on and take the next test.
Find the right course for you
We'd love to answer your questions
Our mentors and academic advisors are standing by to help guide you towards the courses or program that makes the most sense for you and your goals.
300 W Main St STE 301, Charlottesville, VA 22903