Abstract: A tools management module of an electronic marketplace may be provided to analyze tool use information for previous and existing users of the electronic marketplace. In some examples, the user information may characterize the action of the previous and existing users with respect to one or more tools. Based at least in part on the analyzed information, the tools management module may be configured to predict relevant tools for new users of the electronic marketplace and to also predict relevant users for new tools of the electronic marketplace.

Abstract: The subject technology provides embodiments for a relevance ranking algorithm of point of interests (POIs). Based on a query request from a user of a mapping application, the relevance ranking orders the matching POIs based on either a reverse logistic distance function or a logarithmic distance function that is used as a multiplier for a baseline score of each of the matching POIs. The multiplier is used to boost or discount the respective relevance of each of the matching POIs, especially with respect to a specified area of interest included in the query request or a location of a user included in the query request. A subset of the ranked POIs may then be selected for display to the user.

Abstract: The subject technology provides embodiments for a relevance ranking algorithm of point of interests (POIs). Based on a query request from a user of a mapping application, the relevance ranking orders the matching POIs based on either a reverse logistic distance function or a logarithmic distance function that is used as a multiplier for a baseline score of each of the matching POIs. The multiplier is used to boost or discount the respective relevance of each of the matching POIs, especially with respect to a specified area of interest included in the query request or a location of a user included in the query request. A subset of the ranked POIs may then be selected for display to the user.

Abstract: The subject technology provides embodiments for a relevance ranking algorithm of point of interests (POIs). Based on a query request from a user of a mapping application, the relevance ranking orders the matching POIs based on either a reverse logistic distance function or a logarithmic distance function that is used as a multiplier for a baseline score of each of the matching POIs. The multiplier is used to boost or discount the respective relevance of each of the matching POIs, especially with respect to a specified area of interest included in the query request or a location of a user included in the query request. A subset of the ranked POIs may then be selected for display to the user.