1. A method of recommending merchandise, the method comprising the steps of: receiving, at a server, product information from at least one seller, the product information containing characteristic information of products sold by said at least one seller; creating and maintaining, by the server, a first database containing product image information associated with a user adaptive avatar image, the product image information including silhouette, pattern and color of products, the user adaptive avatar image representing gender, age or body size of the user; creating and maintaining, by the first server, a second database containing product information of said at least one seller, the product information including a product image, price and detailed description of the product corresponding to the product image information, the product image being associated with image characteristic information, the image characteristic information including keywords associated with the product; providing, by a user computer, a first user interface session for allowing the user to create the user adaptive avatar image representing gender, age or body size selected by the user; providing, by the user computer, a second user interface session for allowing the user to input product image information of products to be searched by selecting virtual graphical images of silhouette, pattern or color of products, the product image information including silhouette, pattern and color of products; receiving, at the server, a product search request from the user, the product search request including the product image information and product search condition containing characteristic information of products to be searched; automatically recommending products to a consumer by searching the second database on the server for products by using keywords extracted from said created user adaptive avatar image and said product image information selected by the user so as to generate text search results associated with product images; and arranging, by the server, the automatically recommended products in an order defined by relevance to the product image information of the products received from the user using the image characteristic information extracted through the text search.