27. A system for ranking one or more products in online shopping, the system comprising: a) a microprocessor; b) a query manager, the query manager configured for interacting with the microprocessor to receive a keyword search query for the one or more products, the one or more products being associated with a product category; c) a feature extraction module, the feature extraction module configured for interacting with the microprocessor to identify one or more attributes related to the product category and to identify one or more features corresponding to each of the one or more attributes for each of the one or more products based on receiving the keyword search query, the one or more attributes comprising at least one of a brand name, a store name, a style, and price, the one or more features comprising query independent features and query dependent features; d) a computing module, the computing module configured for interacting with the microprocessor to compute: (i) a normalized score of each of an attribute instance of a base attribute for each product in the product category, the normalized score being computed based on the value associated with each of the one or more features associated with the base attribute, wherein the value of the one or more features is determined based on a query dependent and a query independent analysis of the one or more features, the normalized score being computed using one or more mathematical functions, wherein the base attribute is selected from the one or more attributes based on the product category; and (ii) a normalized score of each of an attribute instance of the one or more attributes other than the base attribute for each product in the product category, the normalized score being computed based at least in part on the normalized score of the corresponding base attribute instance of each product, the normalized score being computed using one or more mathematical functions and an attribute affinity matrix, wherein the attribute affinity matrix comprises one or more values, for the attribute instance of the one or more attributes other than the base attribute, calculated based on normalized scores of the attribute instances of the base attribute; e) a weight assignment module, the weight assignment module configured for interacting with the microprocessor to assign weights to each of the one or more attributes based on the relative importance of each of the one or more attributes for the product category and the keyword search query; and f) a product ranking module, the product ranking module configured for interacting with the microprocessor to generate a product rank for each of the one or more products in the product category based on the assigned weights of the one or more attributes and the scores of each attribute instance using a predefined relevancy-ranking algorithm, wherein the rank ordered list of the one or more products are displayed.
27. A system for ranking one or more products in online shopping, the system comprising: a) a microprocessor; b) a query manager, the query manager configured for interacting with the microprocessor to receive a keyword search query for the one or more products, the one or more products being associated with a product category; c) a feature extraction module, the feature extraction module configured for interacting with the microprocessor to identify one or more attributes related to the product category and to identify one or more features corresponding to each of the one or more attributes for each of the one or more products based on receiving the keyword search query, the one or more attributes comprising at least one of a brand name, a store name, a style, and price, the one or more features comprising query independent features and query dependent features; d) a computing module, the computing module configured for interacting with the microprocessor to compute: (i) a normalized score of each of an attribute instance of a base attribute for each product in the product category, the normalized score being computed based on the value associated with each of the one or more features associated with the base attribute, wherein the value of the one or more features is determined based on a query dependent and a query independent analysis of the one or more features, the normalized score being computed using one or more mathematical functions, wherein the base attribute is selected from the one or more attributes based on the product category; and (ii) a normalized score of each of an attribute instance of the one or more attributes other than the base attribute for each product in the product category, the normalized score being computed based at least in part on the normalized score of the corresponding base attribute instance of each product, the normalized score being computed using one or more mathematical functions and an attribute affinity matrix, wherein the attribute affinity matrix comprises one or more values, for the attribute instance of the one or more attributes other than the base attribute, calculated based on normalized scores of the attribute instances of the base attribute; e) a weight assignment module, the weight assignment module configured for interacting with the microprocessor to assign weights to each of the one or more attributes based on the relative importance of each of the one or more attributes for the product category and the keyword search query; and f) a product ranking module, the product ranking module configured for interacting with the microprocessor to generate a product rank for each of the one or more products in the product category based on the assigned weights of the one or more attributes and the scores of each attribute instance using a predefined relevancy-ranking algorithm, wherein the rank ordered list of the one or more products are displayed. 30. The system of claim 27 further comprising an updating module, the updating module being configured for interacting with the microprocessor to update a product catalogue of the one or more products periodically.