Context-Aware Personalized Recommender System for Physical Retail Stores

A method of providing product recommendations in a physical retail store, the method comprising:

• detecting that a user arrives at the physical retail store;
• in response, receiving information from a recommendation server for the user that is particular to user;
• storing locally, the information from the recommendation server;
• detecting a plurality of user interactions for the user with products in the retail store as part of the shopping experience and prior to a check-out phase of the shopping experience;
• and
• based on the locally stored information and the user interaction, providing product recommendations.

A system for providing product recommendations in a physical retail store, the system comprising:

• a product recommender coupled to a remote service storing information about users, wherein the product recommender is configured to identify when a user arrives at a physical store and, as a result to obtain information for the user from the remote service;
• one or more sensors coupled to the product recommender configured to detect user actions at the physical store;
• and
• wherein the product recommender is configured to provide recommendations to the user based on the information for the user and the detected user actions.