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Recomendations Engine
overview
Recommendation System
Recommendation systems are built using artificial intelligence algorithms. AI has the access to user’s past data, for example, user’s likings, interests, choices, and preferences. On the basis of this data artificial intelligence systems suggests products or items that are recommended for the user. Online Recommendation Systems have an ability to customized the content, based on the past behavior, which brings customer delight and improves the traffic on the website as a customer would like to revisit the website.
Sectors
There are three main classes of online recommendation system algorithm based on Machine learning and Natural language Processing :
Benefits to bank on
Our clients are able to increase end-user productivity without sacrificing usability.
Stop wasting time and money on technology. Let’s get started
Delivery
Transform your technology by focusing on 3 key areas
Customers stories
Seehash are always accommodating our diverse needs and we feel like they are a part of our company rather than an external supplier.
I sleep easier at night knowing the Seehash team is in my corner. Supporting my business and keeping my systems in Tip-Top shape.