Abstract: Techniques for generating a personality trait model are described. According to an example, a system is provided that can generate text data and linguistic data, and apply psycholinguistic data to the text data and the linguistic data, resulting in updated text data and updated linguistic data. The system is further operable to combine the updated text data with the updated linguistic data to generate a personality trait model. In various embodiments, the personality trait model can be trained and updated as additional data is received from various inputs.

Abstract: Techniques for generating a personality trait model are described. According to an example, a system is provided that can generate text data and linguistic data, and apply psycholinguistic data to the text data and the linguistic data, resulting in updated text data and updated linguistic data. The system is further operable to combine the updated text data with the updated linguistic data to generate a personality trait model. In various embodiments, the personality trait model can be trained and updated as additional data is received from various inputs.

Abstract: Techniques are provided for automated privacy scoring of user information. In one example, a system comprises a memory that stores computer executable components, and a processor that executes computer executable components stored in the memory. The computer executable components can comprise a privacy scoring component that employs a privacy identification model to generate a privacy score for a user and a product in the particular context based on information associated with the user and the product in the particular context. The computer executable components can also comprise a privacy enforcement component that implements one or more privacy features on the information based on the privacy score.

Abstract: Aspects of the present invention include a method, system and computer program product for preventing certain sensitive private or personal information of a user from being recorded or stored and/or uploaded by a third party input method editor while the user is entering information into a computer that is part of a network. The method includes a processor creating a model containing privacy information about a user of a computer; extracting the privacy information from the model; analyzing the information entered into the computer by the user; determining that the user has entered any of the privacy information into the computer; and if the processor has determined that the user has entered any of the privacy information into the computer, preventing any recording, storing or uploading of the privacy information.

Abstract: In an approach for determining an available parking space, a computer accesses a streaming video. The computer identifies a vehicle and a corresponding identification characteristic within the accessed streaming video. The computer retrieves historical data associated with the identified identification characteristic, wherein the historical data includes previous parking locations. The computer determines a preferred parking space within the retrieved historical data associated with the identified identification characteristic. The computer determines whether the identified preferred parking space is available based on a parking database.

Abstract: Techniques for generating a personality trait model are described. According to an example, a system is provided that can generate text data and linguistic data, and apply psycholinguistic data to the text data and the linguistic data, resulting in updated text data and updated linguistic data. The system is further operable to combine the updated text data with the updated linguistic data to generate a personality trait model. In various embodiments, the personality trait model can be trained and updated as additional data is received from various inputs.

Abstract: Techniques are provided for automated privacy scoring of user information. In one example, a system comprises a memory that stores computer executable components, and a processor that executes computer executable components stored in the memory. The computer executable components can comprise a privacy scoring component that employs a privacy identification model to generate a privacy score for a user and a product in the particular context based on information associated with the user and the product in the particular context. The computer executable components can also comprise a privacy enforcement component that implements one or more privacy features on the information based on the privacy score.

Abstract: Aspects of the present invention include a method, system and computer program product for preventing certain sensitive private or personal information of a user from being recorded or stored and/or uploaded by a third party input method editor while the user is entering information into a computer that is part of a network. The method includes a processor creating a model containing privacy information about a user of a computer; extracting the privacy information from the model; analyzing the information entered into the computer by the user; determining that the user has entered any of the privacy information into the computer; and if the processor has determined that the user has entered any of the privacy information into the computer, preventing any recording, storing or uploading of the privacy information.

Abstract: An interactive shopping advisor receives a natural language query for a product search, generates an initial product recommendation from the natural language query, receives a natural language preference parameter for refining the product search, maps the natural language preference parameter to a product attribute value for the product search, identifies an adjustment orientation of the product attribute value from the natural language preference parameter, and applies the adjustment orientation to the natural language query to provide a refined product recommendation for the product search.

Abstract: In an approach for determining an available parking space, a computer accesses a streaming video. The computer identifies a vehicle and a corresponding identification characteristic within the accessed streaming video. The computer retrieves historical data associated with the identified identification characteristic, wherein the historical data includes previous parking locations. The computer determines a preferred parking space within the retrieved historical data associated with the identified identification characteristic. The computer determines whether the identified preferred parking space is available based on a parking database.