Abstract: A system and method for generating product recommendations for a customer in an e-commerce retail environment is presented. The system includes a data module configured to extract one or more information for one or more products purchased via the e-commerce retail environment, a first attribute extraction module configured to extract one or more product attributes of interest to the customer and a corresponding sentiment, a product identification module configured to identify one or more products similar to a product of interest, a second attribute extraction module configured to extract one or more similar product attributes and a corresponding sentiment, an attribute comparison module configured to compare the one or more product attributes of interest and the corresponding sentiment with the one or more similar product attributes and the corresponding sentiment, and identify a product for recommendation, and a product recommender configured to recommend to the customer the identified product.