Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are identified based on video graph data. In an exemplary method, information associated with a first element of video content is received, and corresponding video graph data is obtained. One or more second elements of video content that are similar to the first element of video content are identified based on the obtained video graph data. A subset the first and second elements of video content is subsequently identified for delivery to the user.

Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are identified based on video graph data. In an exemplary method, information associated with a first element of video content is received, and corresponding video graph data is obtained. One or more second elements of video content that are similar to the first element of video content are identified based on the obtained video graph data. A subset the first and second elements of video content is subsequently identified for delivery to the user.

Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are identified based on video graph data. In an exemplary method, information associated with a first element of video content is received, and corresponding video graph data is obtained. One or more second elements of video content that are similar to the first element of video content are identified based on the obtained video graph data. A subset the first and second elements of video content is subsequently identified for delivery to the user.

Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are associated to generate video graph data. In an exemplary method, information associated with first and second elements of video content is obtained and decomposed into corresponding first and second segments. A value indicative of an association between the first and second elements of video content is generated when the similarity measure satisfies at least one association rule.

Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are identified based on video graph data. In an exemplary method, information associated with a first element of video content is received, and corresponding video graph data is obtained. One or more second elements of video content that are similar to the first element of video content are identified based on the obtained video graph data. A subset the first and second elements of video content is subsequently identified for delivery to the user.

Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are associated to generate video graph data. In an exemplary method, information associated with first and second elements of video content is obtained and decomposed into corresponding first and second segments. A value indicative of an association between the first and second elements of video content is generated when the similarity measure satisfies at least one association rule.

Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are associated to generate video graph data. In an exemplary method, information associated with first and second elements of video content is obtained and decomposed into corresponding first and second segments. A value indicative of an association between the first and second elements of video content is generated when the similarity measure satisfies at least one association rule.

Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are identified based on video graph data. In an exemplary method, information associated with a first element of video content is received, and corresponding video graph data is obtained. One or more second elements of video content that are similar to the first element of video content are identified based on the obtained video graph data. A subset the first and second elements of video content is subsequently identified for delivery to the user.

Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are identified based on video graph data. In an exemplary method, information associated with a first element of video content is received, and corresponding video graph data is obtained. One or more second elements of video content that are similar to the first element of video content are identified based on the obtained video graph data. A subset the first and second elements of video content is subsequently identified for delivery to the user.

Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are associated to generate video graph data. In an exemplary method, information associated with first and second elements of video content is obtained and decomposed into corresponding first and second segments. A value indicative of an association between the first and second elements of video content is generated when the similarity measure satisfies at least one association rule.

Abstract: A computer-implemented method is provided for ranking files from an Internet search. In one embodiment, the method comprises assigning a score to each file based on at least one of the following factors: recency, editorial popularity, clickthru popularity, favorites metadata, or favorites collaborative filtering. The file may be organized based on the assigned scores to provide users with more accurate search results.

Abstract: A computer-implemented method is provided for searching for files on the Internet. In one embodiment, the method may provide an application crawler that assembles and dynamically instantiates all components of a web page. The instantiated web application may then be analyzed to locate desired components on the web page. This may involve finding and analyzing all clickable items in the application, driving the web application by injecting events, and extracting information from the application and writing it to a file or database.

Abstract: A computer-implemented method is provided for ranking files from an Internet search. In one embodiment, the method comprises assigning a score to each file based on at least one of the following factors: recency, editorial popularity, clickthru popularity, favorites metadata, or favorites collaborative filtering. The files may be organized based on the assigned scores to provide users with more accurate search results.

Abstract: A vehicle is disclosed which carries a vehicle orientation system FOA together with a north-seeking system operating independently therefrom for orienting its equipment.According to the invention, the two systems are bidirectionally linked together and results determined in the individual systems are transmitted to the respectively other system so as to increase its accuracy and for other corrections.