Abstract: Technologies are described for storing and reporting user activities within a computing environment. For example, bitsets (e.g., compressed and/or uncompressed bitsets) can be used to store activities (e.g., where each activity is a bit in the bitset in chronological order). Separate bitsets can be maintained for followable aspects of the activities (e.g., a separate bitset for each unique followable). Activity streams can be produced from the compressed bitsets (e.g., custom streams reflecting followables designated by users).

Abstract: A garment marketplace maintains a population of stored garments, and each of those garments is associated with a display image and a characteristic vector representing characteristics of the garment. The garment marketplace receives an intake garment and obtains a classification image of the intake garment. A garment identification system determines whether the intake garment is the same as one of the stored garments. To do so, the garment identification system applies a garment identification model to the classification image. The model generates a characteristic vector representing the intake garment. If the characteristic vector for the intake vector is the same as a characteristic vector for a stored garment, the garment identification system determines the intake garment is the same as the stored garment.

Abstract: Technologies are described for storing and reporting user activities within a computing environment. For example, bitsets (e.g., compressed and/or uncompressed bitsets) can be used to store activities (e.g., where each activity is a bit in the bitset in chronological order). Separate bitsets can be maintained for followable aspects of the activities (e.g., a separate bitset for each unique followable). Activity streams can be produced from the compressed bitsets (e.g., custom streams reflecting followables designated by users).

Abstract: Technologies are described for storing and reporting user activities within a computing environment. For example, bitsets (e.g., compressed and/or uncompressed bitsets) can be used to store activities (e.g., where each activity is a bit in the bitset in chronological order). Separate bitsets can be maintained for followable aspects of the activities (e.g., a separate bitset for each unique followable). Activity streams can be produced from the compressed bitsets (e.g., custom streams reflecting followables designated by users).

Abstract: Technologies are described for storing and reporting user activities within a computing environment. For example, bitsets (e.g., compressed and/or uncompressed bitsets) can be used to store activities (e.g., where each activity is a bit in the bitset in chronological order). Separate bitsets can be maintained for followable aspects of the activities (e.g., a separate bitset for each unique followable). Activity streams can be produced from the compressed bitsets (e.g., custom streams reflecting followables designated by users).

Abstract: A system and method is disclosed for receiving user input data, such as voice data and text data, associating a visualization with the user input data; and creating an MMS message based upon the visualization. Optionally, the system is configured to analyze and process such user input data to generate linguistic, semantic, cultural or other contextual data for association with multimedia files. By using tagging and indexing, user input data is processed to generate one or more associations with visualizations. A processor or engine searches a database to find associated visualizations or multimedia files that match the user input data. The multimedia files may then be concatenated or streamed to communicate one or more series of multimedia files in lieu of the text data. Accordingly, users can transform textual and voice communication into a multimedia-rich means of communication with one another.

Abstract: A system and method is disclosed for receiving user input data, such as voice data and text data, associating a visualization with the user input data; and creating an MMS message based upon the visualization. Optionally, the system is configured to analyze and process such user input data to generate linguistic, semantic, cultural or other contextual data for association with multimedia files. By using tagging and indexing, user input data is processed to generate one or more associations with visualizations. A processor or engine searches a database to find associated visualizations or multimedia files that match the user input data. The multimedia files may then be concatenated or streamed to communicate one or more series of multimedia files in lieu of the text data. Accordingly, users can transform textual and voice communication into a multimedia-rich means of communication with one another.

Abstract: A computer simulation method is provided for modeling the behavioral expression of one or more agents in an environment to be simulated, then running a simulation of the modeled agent(s) against real-world information as input data reflecting changing conditions of the environment being simulated, and obtaining an output based on the modeled agent(s) response(s). The simulation method models the underlying cultural, social, and behavioral characteristics on which agent behaviors and actions are based, rather than modeling fixed rules for the agent's actions. The input data driving the simulation are constituted by real-world information reflecting the changing conditions of the environment being simulated, rather than an artificial set of predefined initial conditions which do not change over time.

Abstract: A computer simulation method is provided for modeling the behavioral expression of one or more agents in an environment to be simulated, then running a simulation of the modeled agent(s) against real-world information as input data reflecting changing conditions of the environment being simulated, and obtaining an output based on the modeled agent(s) response(s). The simulation method models the underlying cultural, social, and behavioral characteristics on which agent behaviors and actions are based, rather than modeling fixed rules for the agent's actions. The input data driving the simulation are constituted by real-world information reflecting the changing conditions of the environment being simulated, rather than an artificial set of predefined initial conditions which do not change over time.

Abstract: A computer simulation method is provided for modeling the behavioral expression of one or more computerized agents for running a simulation against real-world input data, and providing a visual display identifying elements in the input data corresponding to the modeled agent(s) response(s). Simulations can be run on sources of input data on global networks for agent types of different cultures, societies, and behaviors, such as news feeds, text communications, and reports, in order to identify keywords or phrases therein that correspond to agent behavioral expressions being monitored. Robust new visual tools are provided for discerning patterns and trends in the simulation data, including waveform charts, star charts, grid charts, and pole charts.

Abstract: A method for creating a personal profile of a user for searching a database comprises the following steps: (a) words or words linked to graphical elements are presented as choices to a user in a display; (b) each word is associated with other keywords or default words; (c) if a profile of the user has previously been established, the profile is referenced for previous added keywords or associative words; (d) search phrases are made from selected keywords or associative words added to the profile; (e) the search phrases are sent as search queries to search for objects in the database; (f) the objects returned from the search are presented to the user as a new display of choices; (g) when a user selects an object, the words that were used to search for that object are added to the user's profile, or reinforced if already present; and the steps (d) to (g) above are repeated iteratively.

Abstract: A computer simulation method is provided for modeling the behavioral expression of one or more agents in an environment to be simulated, then running a simulation of the modeled agent(s) against real-world information as input data reflecting changing conditions of the environment being simulated, and obtaining an output based on the modeled agent(s) response(s). The simulation method models the underlying cultural, social, and behavioral characteristics on which agent behaviors and actions are based, rather than modeling fixed rules for the agent's actions. The input data driving the simulation are constituted by real-world information reflecting the changing conditions of the environment being simulated, rather than an artificial set of predefined initial conditions which do not change over time.

Abstract: A method for creating a personal profile of a user for searching a database comprises the following steps: (a) words or words linked to graphical elements are presented as choices to a user in a display; (b) each word is associated with other keywords or default words; (c) if a profile of the user has previously been established, the profile is referenced for previous added keywords or associative words; (d) search phrases are made from selected keywords or associative words added to the profile; (e) the search phrases are sent as search queries to search for objects in the database; (f) the objects returned from the search are presented to the user as a new display of choices; (g) when a user selects an object, the words that were used to search for that object are added to the user's profile, or reinforced if already present; and the steps (d) to (g) above are repeated iteratively.