Abstract: Ranking search results based on color including evaluating whether a color term in a search query was intended to identify an actual color and returning different search results based on that determination. When an actual color was intended, an initial product ranking is updated based on color similarity of the product. In some embodiments, a color similarity score is calculated using a color difference formula, a cosine similarity measurement is determined of a cosine of an angle between a query vector and a title vector, and the color is considered to have been intended to identify the actual color when the cosine similarity measurement is less than a threshold value. In particular embodiments, the query vector includes individual terms of the search query and a number of occurrences of each individual term. Different embodiments include computer implemented systems and methods.

Abstract: A system is provided including a user interface and a processing device. The user interface is accessible to the user and includes at least one zone configured to display a module, the at least one zone having an associated module definition. The module definition comprises a visual organization of a plurality of product-related data elements sharing at least one common attribute. The processor includes a module definition unit and a module generation unit. The module definition unit includes a plurality of module definitions and is configured to provide at least one module definition in response to the presence of the at least one zone on the user interface. The module generation unit is configured to generate a module for display within the at least one zone by collecting the product-related data from a database as a function of the module definition and the collected product-related data.

Abstract: Example systems and methods that rank search results based on color are described. In one implementation, a method receives a product search query from a user and identifies a reference to a color in the product search query. The product search query is executed to identify multiple products. The method further identifies references to the color in a title or a description of each of the multiple products. A ranking of the multiple products is created by increasing the ranking of products that include a reference to the color in the title or the description.

Abstract: Example systems and methods that rank search results based on color are described. In one implementation, a method receives a product search query from a user and identifies a reference to a color in the product search query. The product search query is executed to identify multiple products. The method further identifies references to the color in a title or a description of each of the multiple products. A ranking of the multiple products is created by increasing the ranking of products that include a reference to the color in the title or the description.

Abstract: Ranking search results based on color including evaluating whether a color term in a search query was intended to identify an actual color and returning different search results based on that determination. When an actual color was intended, an initial product ranking is updated based on color similarity of the product. In some embodiments, a color similarity score is calculated using a color difference formula, a cosine similarity measurement is determined of a cosine of an angle between a query vector and a title vector, and the color is considered to have been intended to identify the actual color when the cosine similarity measurement is less than a threshold value. In particular embodiments, the query vector includes individual terms of the search query and a number of occurrences of each individual term. Different embodiments include computer implemented systems and methods.

Abstract: Example systems and methods that select search result images are described. In one implementation, a method accesses a ranking of multiple products associated with a search query and identifies a reference to a color in the search query. The method identifies a first product from the ranking of multiple products and identifies multiple product images associated with the first product. A color determination is made regarding each of the multiple product images. A product image having an associated color that is most similar to the color in the search query is selected for presentation in the search results.

Abstract: Computer-implemented methods and systems may be used for identifying an attribute and/or attribute value in a text string. In embodiments, the text string comprises a search query submitted by a user. Embodiments of the present disclosure include identifying an attribute value from a search query by comparing the search query string to a list of known attribute values and comparing the candidate attribute value to a knowledge base to confirm that the string represents an attribute value rather than a non-attribute concept. In embodiments, a Bloom filter is employed to execute a relatively efficient comparison between a candidate attribute value and known non-attribute concepts.

Abstract: The present disclosure is directed to computer-implemented methods and systems for identifying an attribute and/or attribute value in a text string. In embodiments, the text string comprises a search query submitted by a user. Embodiments of the present disclosure include identifying an attribute value from a search query by comparing the search query string to a list of known attribute values and comparing the candidate attribute value to a knowledge base to confirm that the string represents an attribute value rather than a non-attribute concept. In embodiments, a Bloom filter is employed to execute a relatively efficient comparison between a candidate attribute value and known non-attribute concepts.

Abstract: The present disclosure is directed to computer-implemented methods and systems for identifying an attribute and/or attribute value in a text string. In embodiments, the text string comprises a search query submitted by a user. Embodiments of the present disclosure include identifying an attribute value from a search query by comparing the search query string to a list of known attribute values and comparing the candidate attribute value to a knowledge base to confirm that the string represents an attribute value rather than a non-attribute concept. In embodiments, a Bloom filter is employed to execute a relatively efficient comparison between a candidate attribute value and known non-attribute concepts.

Abstract: Example systems and methods that rank search results are described. In one implementation, a method receives an initial search query from a user and identifies a reference to a color in the initial search query. A second search query is created by re-writing the initial search query without reference to the color in the initial search query. The second search query is executed to identify multiple products. The method identifies a particular product within the multiple products that includes the color in the initial search query and increases a ranking score associated with the particular product.

Abstract: Example systems and methods that rank search results based on color are described. In one implementation, a method receives a product search query from a user and identifies a reference to a color in the product search query. The product search query is executed to identify multiple products. The method further identifies references to the color in a title or a description of each of the multiple products. A ranking of the multiple products is created by increasing the ranking of products that include a reference to the color in the title or the description.

Abstract: Example systems and methods that rank search results based on color are described. In one implementation, a method receives a product search query from a user and identifies a reference to a color in the product search query. The product search query is executed to identify multiple products. The method further identifies references to the color in a title or a description of each of the multiple products. A ranking of the multiple products is created by increasing the ranking of products that include a reference to the color in the title or the description.

Abstract: Example systems and methods that rank search results based on color are described. In one implementation, a method receives a product search query from a user and identifies a reference to a color in the product search query. The product search query is executed to identify multiple products. The method further identifies references to the color in a title or a description of each of the multiple products. A ranking of the multiple products is created by increasing the ranking of products that include a reference to the color in the title or the description.

Abstract: Example systems and methods that select search result images are described. In one implementation, a method accesses a ranking of multiple products associated with a search query and identifies a reference to a color in the search query. The method identifies a first product from the ranking of multiple products and identifies multiple product images associated with the first product. A color determination is made regarding each of the multiple product images. A product image having an associated color that is most similar to the color in the search query is selected for presentation in the search results.