26. A computer-readable storage medium having computer-executable components for determining relevance of items within a category, the computer-executable components comprising: a category fit score component for determining a category fit score for each of a plurality of items and for each category to which each item belongs; a browse score component for determining a browse score for each of the plurality of items based on historical activities of users with respect to the items and each category to which the items belong; a popularity score component for determining a popularity score for each of the plurality of items based on a popularity of the item within at least one of the categories to which the item belongs; a prediction boost score component for determining a prediction boost score to be applied to the popularity score for at least one of the plurality of items when the at least one item is part of a market trend or based on a popular theme; a browse relevance score component for determining a browse relevance score for each item for each category to which that item belongs, the browse relevance score for each item with respect to each category being calculated by summing at least the category fit score, the browse score, and the popularity score and multiplying a result of the summing for each item by a price range score for the item; and a display component configured to arrange a display of items based on the determined browse relevance scores for items in at least one specified category.
26. A computer-readable storage medium having computer-executable components for determining relevance of items within a category, the computer-executable components comprising: a category fit score component for determining a category fit score for each of a plurality of items and for each category to which each item belongs; a browse score component for determining a browse score for each of the plurality of items based on historical activities of users with respect to the items and each category to which the items belong; a popularity score component for determining a popularity score for each of the plurality of items based on a popularity of the item within at least one of the categories to which the item belongs; a prediction boost score component for determining a prediction boost score to be applied to the popularity score for at least one of the plurality of items when the at least one item is part of a market trend or based on a popular theme; a browse relevance score component for determining a browse relevance score for each item for each category to which that item belongs, the browse relevance score for each item with respect to each category being calculated by summing at least the category fit score, the browse score, and the popularity score and multiplying a result of the summing for each item by a price range score for the item; and a display component configured to arrange a display of items based on the determined browse relevance scores for items in at least one specified category. 30. The computer-readable storage medium of claim 26 , wherein an item may be associated with multiple browse nodes.