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 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 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 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 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 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 ranking files from an Internet search. In one embodiment, the method comprises sorting search result items based on a first clickthru popularity and a second clickthru popularity. The first clickthru popularity may be derived from clickthrus that occurred during a first time period. The second clickthru popularity may be derived from clickthrus that occurred during a second time period that is different from the first time period.

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 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 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 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 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 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 system for and method of determining an input command profile for substantially any dynamic system that can be modeled as a linear system, the input command profile for transitioning an output of the dynamic system from one state to another state. The present invention involves identifying characteristics of the dynamic system, selecting a command profile which defines an input to the dynamic system based on the identified characteristics, wherein the command profile comprises one or more pulses which rise and fall at switch times, imposing a plurality of constraints on the dynamic system, at least one of the constraints being defined in terms of the switch times, and determining the switch times for the input to the dynamic system based on the command profile and the plurality of constraints.

Abstract: A system for and method of determining an input command profile for substantially any dynamic system that can be modeled as a linear system, the input command profile for transitioning an output of the dynamic system from one state to another state. The present invention involves identifying characteristics of the dynamic system, selecting a command profile which defines an input to the dynamic system based on the identified characteristics, wherein the command profile comprises one or more pulses which rise and fall at switch times, imposing a plurality of constraints on the dynamic system, at least one of the constraints being defined in terms of the switch times, and determining the switch times for the input to the dynamic system based on the command profile and the plurality of constraints.

Abstract: The system described herein determines an input command profile for a dynamic system that can be modeled as a linear system, the input command profile for transitioning an output of the dynamic system from one point to another point. The system identifies characteristics of the dynamic system, and then selects a command profile which defines an input to the dynamic system based on the identified characteristics. The command profile comprises one or more pulses which rise and fall at switch times, and the command profile is useable with substantially any dynamic system that can be modeled as a linear system. The system then imposes a plurality of constraints on the dynamic system, at least one of the constraints being defined in terms of the switch times, and determines the switch times for the input to the dynamic system based on the command profile and the plurality of constraints.