TY  - EJOU
AU  - 
T1  - Creation of Algoritms  for Recommendation  System Based on Users Data on Internet Advertisement Marketing
T2  - Review of Information Engineering and Applications

PY  - 2018
VL  - 5
IS  - 2
SN  - 2409-6539

AB  - Nowadays, products are offered to buyers in different varieties and qualities on the Internet environment. Recommedation systems are needed to make the right choices and make effective decisions. The article offers a new method and algorithm based on data obtaned through different ways and by creating hybrid recommendation systems. Estimation method is given based on information about objects and users for proper development of the algorithm. The proposed method can identify the proximity between the users group and the objects the users are interested in. 
KW  - Internet-advertising data
KW  - Hybrid recommendation systems Filtration
KW  - Collaboration filter
KW  - Proximity measure.
DO  - 10.18488/journal.79.2018.52.41.48