Abstract: Consumer-generated product reviews are a mainstay of electronic commerce and a key factor in the consumer decision process. A shopper's typical online purchase decision can involve tedious reading of multiple reviews written by previous purchasers in order to find and compare products for purchase. Disclosed herein is an automated system, and associated methods, that identifies the product attributes discussed in consumer reviews and summarizes consumer sentiment for each attribute for each product thus, offering immense value to consumers and retailers alike.

Abstract: The present invention is directed to a system for marketing targeted products to users of an Internet-based social media community. The system may include a Recommendation, Advertisement, and Personalization (RAP) Engine for generating product recommendations. The RAP Engine may be connected to a Person Shopping Genome Sequence Repository, a Product Genome Sequence Repository, a Merchant Product's Price List Repository and a Genome Annotation Data Repository. The system may include an AI and Semantic Engine connected to the Genome Annotation Data Repository, the Product Genome Sequence Repository, and the Merchant Product's Price List Repository. Also, the system may include a first data channel connected to the RAP Engine for communicating product recommendations to users of an Internet-based social media community.