You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In Section 5.2 of Herlocker 1999 and Table 2 of Herlocker 2002, the significance weighting or shrinkage parameter for the similarity value takes the form of the fraction of the number of common elements and a threshold, for example, min(n/50, 1).
Line 546 of Recommder.java
I am wondering whether there is any advantage of sim *= n / (n + shrinkage + 0.0); over sim *= Math.min(n / (double)shrinkage, 1.0); or other considerations here.
The text was updated successfully, but these errors were encountered:
In Section 5.2 of Herlocker 1999 and Table 2 of Herlocker 2002, the significance weighting or shrinkage parameter for the similarity value takes the form of the fraction of the number of common elements and a threshold, for example, min(n/50, 1).
Line 546 of Recommder.java
I am wondering whether there is any advantage of
sim *= n / (n + shrinkage + 0.0);
oversim *= Math.min(n / (double)shrinkage, 1.0);
or other considerations here.The text was updated successfully, but these errors were encountered: