A user makes a request to restrict targeted advertising through third party services accessed on a client device. A publishing system obtains information indicating that the user requested to restrict targeted advertising. The publishing system updates a profile associated with an account of the user to indicate that the user has requested to restrict targeted advertising. Based on the update to the profile, when the user communicates with the publishing system through the same or a different client device, the publishing system is restricted as to the information that can be collected and used for targeted advertising

Methods and systems are presented for attracting and engaging a user for a merchant system. A selectable option associated with the merchant system is displayed on a client device associated with a user. An indication of a user selection of the selectable option is received, and a content page is provided to the client device in response to the indication. Customer relationship management (CRM) information associated with the user of the client device is received from a carrier system associated with the client device. A transaction is processed for the user on behalf of the merchant system, based on the CRM information, and data associated with the user and the transaction are output to the merchant system.

A computer-implemented method, system, and computer product for managing an electronic olfactory system in a mobile device configured to accept and deploy olfactory data. The method, system, and computer product identifies an advertising party using a mobile device in response to detecting the advertising party. The method, system, and computer product receives an advertising demand from the advertising party on the mobile device, the advertising demand comprises a first set of olfactory data and a request for emitting the first set of olfactory data and performs the advertising demand based on a user's preferences.

A computer-implemented method, system, and computer product for managing an electronic olfactory system in a mobile device configured to accept and deploy olfactory data. The method, system, and computer product identifies an advertising party using a mobile device in response to detecting the advertising party. The method, system, and computer product receives an advertising demand from the advertising party on the mobile device, the advertising demand comprises a first set of olfactory data and a request for emitting the first set of olfactory data and performs the advertising demand based on a user's preferences.

Systems and methods are disclosed for providing non-intrusive advertising content to users. The method includes receiving user input reflecting user content preferences for receiving desired content related to specific topics in lieu of standard advertising slots while watching playable media content via a set-top box. The method may further include receiving a request for playable media content and then retrieving desired content based on user content preferences. Thereafter, the method may include choosing non-intrusive advertising content and generating datagrams that include the desired content and the non-intrusive advertising content. The datagrams may be concatenated with the playable media content to generate displayable content. The display content may then be provided for displaying.

Various arrangements of controlling a temperature of an enclosure are presented. A setpoint temperature may be received by a thermostat from a user via an energy management device. The setpoint temperature may indicate a desired temperature of the enclosure. The thermostat may be operated in accordance with the setpoint temperature. Energy consumption associated with the thermostat may be monitored. The monitored energy consumption may be compared to an energy usage profile. Based on such a comparison, at least one adjustment to the operation of the thermostat may be determined that will reduce energy consumption associated with the thermostat as compared to the energy consumption associated with operating the thermostat in accordance with the setpoint temperature.

A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (machine representation); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.

A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (machine representation); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.

There is provided a computer implemented method for the automated analysis or use of data, comprising the steps of: (a) storing in a non-transitory computer-readable medium a structured, machine-readable representation of data that conforms to a machine-readable language; in which the structured, machine-readable representation of data includes a plurality of tenets defining rules, the plurality of tenets including at least one constraint tenet, the at least one constraint tenet preventing a bad action; wherein the plurality of tenets comprise different sets of tenets; (b) using the different sets of tenets in different contexts, e.g. for different types of chatbots, or for different end-users.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for recommending content based on context such as location. In one aspect, a method includes receiving data that references a location of a mobile device, selecting, from among multiple, different applications that are available in an online application marketplace, one or more of the applications that are relevant to the location, and providing, by a recommendation server, a recommendation to the mobile device, where the recommendation identifies the one or more applications as applications that the user is likely to be interested in purchasing or downloading.