Abstract: Methods and systems of establishing a shopping assistant utility are described. The method may include receiving product information for products, and based on the received product information, automatically generating a product profile for each of the products. Each product profile includes attributes assigned to the product. The method may further include receiving a search request including search criteria corresponding to at least one of the attributes, and comparing the search criteria with the attribute of the products to determine a level of correlation between each of the products and the search criteria. Further, the method may generate a score assigned to each of the products based on the determined level of correlation and present the products in an ordered list based on the generated scores assigned to each of the products.

Abstract: Methods and systems of providing purchasing suggestions to a shopper are disclosed. Data are maintained representing one or more profiles of individuals. Each such profile includes a plurality of fields descriptive of qualities of one of the individuals. A request is received over a public network from the shopper to provide a purchasing suggestion for a recipient. A level of correlation is evaluated between aspects of each of a plurality of products with the qualities of the recipient according to the profile of the recipient. A list of products having the level of correlation exceed a defined threshold value is generated. The list is provided to the shopper.