Abstract:
A digital content acceleration system comprising: a keyed database for storing keyed data; a data retrieval engine that retrieves, in response to receiving an item of keyed data, one of i) search data indicative of a search history associated with the item of keyed data, ii) web history data indicative of one or more web pages accessed by a terminal device associated with the item of keyed data, or iii) both i) and ii); a parsing engine that extracts one or more attributes from the search data and the web history data; a terminal device network access engine that generates, based on the one or more attributes, a probability distribution for geographic locations; a content selection engine that retrieves, from a digital content provider, digital content associated with a particular geographic location of the geographic locations; and a digital content assembler engine that pre-assembles the digital content.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium and one or more servers in communication, for presenting points of interest in an electronic interactive map at a client device. In one aspect, a method includes receiving, at a client device, an electronic interactive map including a point of interest overlay comprising of at least one point of interest located within the geographic region of the presented map.
Abstract:
In one implementation, a computer-implemented method includes receiving information related to users of a social network site and determining a graph for at least a portion of the social network, the graph including a plurality of nodes connected by directional links where each node corresponds to a user having a profile page on the social network and where each directional link corresponds to a user viewing at least an aspect of a profile page for another user. The method can further include identifying first nodes as including content associated with a particular subject of interest, and seeding the identified first nodes with first scores. The method can also include determining second scores for second nodes by propagating the first scores across the social graph based upon third nodes having viewed aspects of profile pages associated with the first nodes and the second nodes; and providing the determined second scores.