| Name : R-GACFF
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:00:46
|
| Group : Development/Libraries/Other
| Source RPM : R-GACFF-1.0-lp153.2.13.src.rpm
|
| Size : 0.08 MB
| |
| Packager : (none)
| |
| Summary : Genetic Similarity in User-Based Collaborative Filtering
|
Description :
The genetic algorithm can be used directly to find the similarity of
users and more effectively to increase the efficiency of the
collaborative filtering method. By identifying the nearest neighbors to
the active user, before the genetic algorithm, and by identifying
suitable starting points, an effective method for user-based
collaborative filtering method has been developed. This package uses an
optimization algorithm (continuous genetic algorithm) to directly find
the optimal similarities between active users (users for whom current
recommendations are made) and others. First, by determining the nearest
neighbor and their number, the number of genes in a chromosome is
determined. Each gene represents the neighbor\'s similarity to the
active user. By estimating the starting points of the genetic
algorithm, it quickly converges to the optimal solutions. The positive
point is the independence of the genetic algorithm on the number of
data that for big data is an effective help in solving the problem.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
