ABSTRACT Recommendation systems, that recommend products to customers for becoming a significant solution requires a lot of investigation. Current recommender systems will recommend products in online, but in some application fields, such as at shopping malls, online recommending system will not work. So, we recommend a facial recognition integrated recommender system to compact by the recommending products for customers at a venin store, shopping malls. Assessment result shows that this framework makes suggestion well indeed. Recommender frameworks are utilized in a collection of regions and are mainly generally professed as playlist originator for video and music organizing like Netflix, YouTube and prime videos, item recommenders for organizers as Amazon, or flip cart for internet based life stages including Face book and Twitter. Keywords: Face recognition, Support Vector Machine (SVM), Recommendation of products and Recommendation to customers.