1. A method for managing data using one or more processors, included in one or more network computers, wherein the one or more processors execute instructions to perform actions, comprising: employing a source data server to provide a principal data set of principal objects and another data set of other data objects; instantiating a first engine to perform actions including: associating one or more principal objects with one or more other objects that are selected as potential matches to the one or more of the principal objects; and identifying each match and non-match of the one or more of the selected other objects with their associated principal object; and instantiating a second engine to train and employ a ranker to identify a matched other object that is top-ranked in similarity by its association with the one or more principal objects; instantiating a third engine to selectively filter the other objects to rank each matched other object higher than other objects associated with a same principal object; and employing geolocation information from a Global Positioning System (GPS) device at a client computer to determine one or more features that are included in a display of the ranked other objects to a user to improve the user's understanding, wherein the features include one or more of time zones, languages, currencies, or calendar formatting that is displayed to the user of the client computer when the client computer is located at a particular geo-location.
1. A method for managing data using one or more processors, included in one or more network computers, wherein the one or more processors execute instructions to perform actions, comprising: employing a source data server to provide a principal data set of principal objects and another data set of other data objects; instantiating a first engine to perform actions including: associating one or more principal objects with one or more other objects that are selected as potential matches to the one or more of the principal objects; and identifying each match and non-match of the one or more of the selected other objects with their associated principal object; and instantiating a second engine to train and employ a ranker to identify a matched other object that is top-ranked in similarity by its association with the one or more principal objects; instantiating a third engine to selectively filter the other objects to rank each matched other object higher than other objects associated with a same principal object; and employing geolocation information from a Global Positioning System (GPS) device at a client computer to determine one or more features that are included in a display of the ranked other objects to a user to improve the user's understanding, wherein the features include one or more of time zones, languages, currencies, or calendar formatting that is displayed to the user of the client computer when the client computer is located at a particular geo-location. 5. The method of claim 1 , wherein the first engine performs further actions comprising: training a classifier to distinguish between matches and non-matches; and employing the classifier to discover incorrect identification of matches.