1. A computer-implemented method, comprising: receiving a search query from a user, the search query including a keyword associated with a first category; accessing a data set that includes one or more items of the first category, one or more categories of the items, and historical data representing one or more actions of other users associated with the items; determining, by a computer system, at least one related category related to the data set from the one or more categories of items; determining that a frequency of the at least one related category is greater than a first threshold, the frequency determined by historical data representing selection of an item in the at least one related category by the other users after the other users have submitted the search query and received and accessed the data set; determining, by the computer system, a conversion rate for the at least one related category by the other users, the conversion rate representing an intended or actual purchase of the item in the related category, the conversion rate greater than a second threshold; when the frequency of the at least one related category is greater than the first threshold and the conversion rate is greater than the second threshold, providing data associated with the at least one related category to the user, the data provided including a navigation strip that is tailored to the at least one related category but not the first category; and adjusting a user experience based at least in part on the data and on the frequency, the user experience being adjusted at least by providing a different layout including the navigation strip on a user interface to browse through the data set that corresponds with the at least one related category but not the first category.
1. A computer-implemented method, comprising: receiving a search query from a user, the search query including a keyword associated with a first category; accessing a data set that includes one or more items of the first category, one or more categories of the items, and historical data representing one or more actions of other users associated with the items; determining, by a computer system, at least one related category related to the data set from the one or more categories of items; determining that a frequency of the at least one related category is greater than a first threshold, the frequency determined by historical data representing selection of an item in the at least one related category by the other users after the other users have submitted the search query and received and accessed the data set; determining, by the computer system, a conversion rate for the at least one related category by the other users, the conversion rate representing an intended or actual purchase of the item in the related category, the conversion rate greater than a second threshold; when the frequency of the at least one related category is greater than the first threshold and the conversion rate is greater than the second threshold, providing data associated with the at least one related category to the user, the data provided including a navigation strip that is tailored to the at least one related category but not the first category; and adjusting a user experience based at least in part on the data and on the frequency, the user experience being adjusted at least by providing a different layout including the navigation strip on a user interface to browse through the data set that corresponds with the at least one related category but not the first category. 5. The computer-implemented method of claim 1 , wherein adjusting the user experience provides a recommendation for items associated with at least one related the category.