Abstract: A computer implemented method for interactive advertising can include displaying on a display a context-specific interactive text cloud containing a plurality of displayed topics that are topically associated with a common context. An advertisement can be displayed that is topically associated with one or more displayed topics of the plurality of displayed topics, with the common context of the context-specific interactive text cloud, or both. The step of displaying an advertisement can be initiated by an interaction by a user with a first displayed topic of the plurality of displayed topics.

Abstract: Methods and systems for text data analysis and visualization enable a user to specify a set of text data sources and visualize the content of the text data sources in an overview of salient features in the form of a network of words. A user may focus on one or more words to provide a visualization of connections specific to the focused word(s). The visualization may include clustering of relevant concepts within the network of words. Upon selection of a word, the context thereof, e.g., links to articles where the word appears, may be provided to the user. Analyzing may include textual statistical correlation models for assigning weights to words and links between words. Displaying the network of words may include a force-based network layout algorithm. Extracting clusters for display may include identifying “communities of words” as if the network of words was a social network.

Abstract: Disclosed are methods and systems that include a method for controlling movement of a first unmanned vehicle (UV) to search an area, where the method includes generating a first trace associated with prior positions in which the first UV has been located, determining a direction in which the first UV is to move using the first generated trace, and causing the first UV to move in the determined direction. The trace may be a numerical value that decreases as a function of the time that has elapsed since the first trace was generated. The methods and systems may also include receiving data relating to a second trace, and using that second trace to determine the direction. The second trace may be generated by a second UV. The second trace may be associated with a position within a predetermined radius from a position associated with the first UV.

Abstract: Methods and systems for text data analysis and visualization enable a user to specify a set of text data sources and visualize the content of the text data sources in an overview of salient features in the form of a network of words. A user may focus on one or more words to provide a visualization of connections specific to the focused word(s). The visualization may include clustering of relevant concepts within the network of words. Upon selection of a word, the context thereof, e.g., links to articles where the word appears, may be provided to the user. Analyzing may include textual statistical correlation models for assigning weights to words and links between words. Displaying the network of words may include a force-based network layout algorithm. Extracting clusters for display may include identifying “communities of words” as if the network of words was a social network.

Abstract: Methods and systems for text data analysis and visualization enable a user to specify a set of text data sources and visualize the content of the text data sources in an overview of salient features in the form of a network of words. A user may focus on one or more words to provide a visualization of connections specific to the focused word(s). The visualization may include clustering of relevant concepts within the network of words. Upon selection of a word, the context thereof, e.g., links to articles where the word appears, may be provided to the user. Analyzing may include textual statistical correlation models for assigning weights to words and links between words. Displaying the network of words may include a force-based network layout algorithm. Extracting clusters for display may include identifying “communities of words” as if the network of words was a social network.

Abstract: Methods and systems for text data analysis and visualization enable a user to specify a set of text data sources and visualize the content of the text data sources in an overview of salient features in the form of a network of words. A user may focus on one or more words to provide a visualization of connections specific to the focused word(s). The visualization may include clustering of relevant concepts within the network of words. Upon selection of a word, the context thereof, e.g., links to articles where the word appears, may be provided to the user. Analyzing may include textual statistical correlation models for assigning weights to words and links between words. Displaying the network of words may include a force-based network layout algorithm. Extracting clusters for display may include identifying “communities of words” as if the network of words was a social network.

Abstract: Methods and systems enable users of video games to interactively adjust the characteristics of a customizable game items, such as avatars or any animate or inanimate items. Users are presented with a plurality of items through a user interface employing an interactive configuration process. Each item may correspond to one particular configuration of the customizable game item. The user is enabled to assign a subjective value to any of the items, corresponding for example to the user's likes or dislikes. The methods and systems then may identify a new set of items that take into account the subjective evaluation and may present them to the user through the user interface. The user again is enabled to assign a subjective value to any of the items, and the process may be repeated. Thus, the disclosed methods and systems may generate a customized game item that is increasingly satisfactory to the user.

Abstract: Disclosed are methods and systems that include a method for controlling movement of a first unmanned vehicle (UV) to search an area, where the method includes generating a first trace associated with prior positions in which the first UV has been located, determining a direction in which the first UV is to move using the first generated trace, and causing the first UV to move in the determined direction. The trace may be a numerical value that decreases as a function of the time that has elapsed since the first trace was generated. The methods and systems may also include receiving data relating to a second trace, and using that second trace to determine the direction. The second trace may be generated by a second UV. The second trace may be associated with a position within a predetermined radius from a position associated with the first UV.

Abstract: In one example, a user is presented with information (e.g., the results of a search provided by a search component executing a search query). The user then subjectively evaluates the information presented pursuant to some metric (e.g., desirable/positive, undesirable/negative, neutral) to provide user feedback. The user feedback is evaluated using one or more evolutionary algorithms to generate a new search query, which may be executed by any one of a number of conventional search components (or a commercial or non-commercial website powered by a search component) to provide new information to the user. The foregoing process may be iterated any number of times, for example, until a user identifies desirable information. In some implementations, additional user interaction is permitted, such as modification of one or more descriptors/characteristics associated with presented information, and/or modification of a search query generated by the evolutionary algorithm(s).