2. A computer-implemented method for generating a display configuration, the method comprising: under control of one or more computing devices configured with executable instructions, identifying a plurality of items for which a display configuration is operable to be generated, each of the plurality of items being associated with at least one category; identifying browse relevance data for each of the plurality of items with respect to the at least one category for each item; computing a browse relevance score for each of the plurality of items with respect to the at least one category from the browse relevance data, each item capable of having a different browse relevance score for the at least one category associated with that item, each browse relevance score being calculated by summing a category fit score, a browse score, and a popularity score and multiplying a result of the summing by a price range score for the item, the popularity score for each item capable of being adjusted using at least one of newness data relating to an amount of time that the item has been available and a prediction boost score for each item that is part of a market trend or based on a popular theme; for a specified category for which the display configuration is to be generated, identifying items from the plurality of items that correspond to the specified category based on their respective browse relevance scores; and generating the display configuration to include the identified items in an arrangement based at least in part upon the respective browse relevance scores for the specified categories.
2. A computer-implemented method for generating a display configuration, the method comprising: under control of one or more computing devices configured with executable instructions, identifying a plurality of items for which a display configuration is operable to be generated, each of the plurality of items being associated with at least one category; identifying browse relevance data for each of the plurality of items with respect to the at least one category for each item; computing a browse relevance score for each of the plurality of items with respect to the at least one category from the browse relevance data, each item capable of having a different browse relevance score for the at least one category associated with that item, each browse relevance score being calculated by summing a category fit score, a browse score, and a popularity score and multiplying a result of the summing by a price range score for the item, the popularity score for each item capable of being adjusted using at least one of newness data relating to an amount of time that the item has been available and a prediction boost score for each item that is part of a market trend or based on a popular theme; for a specified category for which the display configuration is to be generated, identifying items from the plurality of items that correspond to the specified category based on their respective browse relevance scores; and generating the display configuration to include the identified items in an arrangement based at least in part upon the respective browse relevance scores for the specified categories. 23. The computer-implemented method of claim 2 , wherein said browse relevance scores are organized into a ranked list.