Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
G.Shobana Jagan K
Abstract
The Product Recommender System In Online Marketing Which Uses Potential Variables Such As Age, Gender, Type Of Interest And Other Authentic Records During Social Login Profile Update That Can Be Measured And Analyzed To Predict Likely Behaviour Of Indi
Keywords
Predictive Model
Social Login
Embeddings
Cross Site Recommendation.
Paper ID
IJSARTV4I523657
Publication Date
May 25, 2018
Research Area
CSE