you'll notice that it also has njo@qfsjpet parameter you can give itand that basically says only want you to consider correlation scores that are backed up by at leastin this example people that rated both movies running that will get rid of the spurious relationships that are based on just handful of people the following is the matrix that we get after running the codeit' little bit different to what we did in the item similarities exercise where we just threw out any movie that was rated by less than people what we're doing hereis throwing out movie similarities where less than people rated both of those moviesokaysoyou can see in the preceding matrix that we have lot more /bvalues in facteven movies that are similar to themselves get thrown outso for examplethe movie waspresumablywatched by fewer than people so it just gets tossed entirely the movie%bmnbujbot howeversurvives with correlation score of and there are actually no movies in this little sample of the dataset that are different from each other that had people in common that watched both butthere are enough movies that survive to get meaningful results