Abstract: A secure inventory management system includes a product information data store that holds inventory information for products that are associated with one or more channels, as well as a consumer profile data store holding consumer-product purchase event information for each channel. The system also includes a channel manager user interface via which the system will receive a consumer identifier from a channel manager user for a first channel, identify products that are in an inventory of the first channel, and use the consumer profile data to generate recommendations for products in the inventory. At least some of the consumers, and at least some of the products, will be associated with multiple channels. The system maintains security and privacy of information so that only aggregate supplier information is shared across channels, and no personally identifiable consumer information is shared with anyone who is not authorized to access the information.

Abstract: An inventory management system includes a product information data store that holds inventory information for products that are associated with one or more channels. The system also includes a channel manager user interface via which the system will receive data for a new product listing. The system will automatically populate the new product listing with additional data for the new product. The system will save the new product listing in association with a channel and channel-specific information for the channel. Then, when a user views the new product information, the system will ensure that the system only views channel-specific information that is associated with the product if the user is subscribed to that channel.

Abstract: Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system.

Abstract: A secure inventory management system includes a product information data store that holds inventory information for products that are associated with one or more channels, as well as a consumer profile data store holding consumer-product purchase event information for each channel. The system also includes a channel manager user interface via which the system will receive a consumer identifier from a channel manager user for a first channel, identify products that are in an inventory of the first channel, and use the consumer profile data to generate recommendations for products in the inventory. At least some of the consumers, and at least some of the products, will be associated with multiple channels. The system maintains security and privacy of information so that only aggregate supplier information is shared across channels, and no personally identifiable consumer information is shared with anyone who is not authorized to access the information.

Abstract: Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system.

Abstract: Methods and systems are disclosed for receiving a sequential federated query; deconstructing the sequential federated query into query elements; identifying a Transactional-Unstructured Data Source (TUDS), a Contextual-Characteristic Data Source (CCDS), and a data organization parameter based on the query elements; generating a TUDS result data set from the TUDS based on the parameter; processing the TUDS result data set and the parameter to develop a CCDS query; generating a CCDS result data set from the CCDS based on the developed CCDS query and the parameter; generating a final sequential federated query data set based on the CCDS result data set and the parameters; processing a formatted sequential federated query data set based on the processing of the final sequential federated query data set and the parameter; and providing the formatted sequential federated query data set to a management system for action.

Abstract: Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system.

Abstract: A secure inventory management system includes a product information data store that holds inventory information for products that are associated with one or more channels, as well as a consumer profile data store holding consumer-product purchase event information for each channel. The system also includes a channel manager user interface via which the system will receive a consumer identifier from a channel manager user for a first channel, identify products that are in an inventory of the first channel, and use the consumer profile data to generate recommendations for products in the inventory. At least some of the consumers, and at least some of the products, will be associated with multiple channels. The system maintains security and privacy of information so that only aggregate supplier information is shared across channels, and no personally identifiable consumer information is shared with anyone who is not authorized to access the information.

Abstract: A secure inventory management system includes a product information data store that holds inventory information for products that are associated with one or more channels, as well as a consumer profile data store holding consumer-product purchase event information for each channel. The system also includes a channel manager user interface via which the system will receive a consumer identifier from a channel manager user for a first channel, identify products that are in an inventory of the first channel, and use the consumer profile data to generate recommendations for products in the inventory. At least some of the consumers, and at least some of the products, will be associated with multiple channels. The system maintains security and privacy of information so that only aggregate supplier information is shared across channels, and no personally identifiable consumer information is shared with anyone who is not authorized to access the information.

Abstract: Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system.

Abstract: A secure inventory management system includes a product information data store that holds inventory information for products that are associated with one or more channels, as well as a consumer profile data store holding consumer-product purchase event information for each channel. The system also includes a channel manager user interface via which the system will receive a consumer identifier from a channel manager user for a first channel, identify products that are in an inventory of the first channel, and use the consumer profile data to generate recommendations for products in the inventory. At least some of the consumers, and at least some of the products, will be associated with multiple channels. The system maintains security and privacy of information so that only aggregate supplier information is shared across channels, and no personally identifiable consumer information is shared with anyone who is not authorized to access the information.

Abstract: A personal taste assessment system recommends a consumable or other item. The system accesses a preference model for the representing associations between a person's ratings of items and a set of item characteristics. The system uses the preference model and an item database that contains characteristic values for a group of items to identify a candidate item having characteristics that correspond to traits that the person found to be appealing, and which may be chemically sensed. The system then causes an electronic device to output an identification of the candidate item.

Abstract: Methods and systems are disclosed for receiving a sequential federated query; deconstructing the sequential federated query into query elements; identifying a Transactional-Unstructured Data Source (TUDS), a Contextual-Characteristic Data Source (CCDS), and a data organization parameter based on the query elements; generating a TUDS result data set from the TUDS based on the parameter; processing the TUDS result data set and the parameter to develop a CCDS query; generating a CCDS result data set from the CCDS based on the developed CCDS query and the parameter; generating a final sequential federated query data set based on the CCDS result data set and the parameters; processing a formatted sequential federated query data set based on the processing of the final sequential federated query data set and the parameter; and providing the formatted sequential federated query data set to a management system for action.

Abstract: Methods and systems are disclosed for receiving a sequential federated query; deconstructing the sequential federated query into query elements; identifying a Transactional-Unstructured Data Source (TUDS), a Contextual-Characteristic Data Source (CCDS), and a data organization parameter based on the query elements; generating a TUDS result data set from the TUDS based on the parameter; processing the TUDS result data set and the parameter to develop a CCDS query; generating a CCDS result data set from the CCDS based on the developed CCDS query and the parameter; generating a final sequential federated query data set based on the CCDS result data set and the parameters; processing a formatted sequential federated query data set based on the processing of the final sequential federated query data set and the parameter; and providing the formatted sequential federated query data set to a management system for action.

Abstract: A personal taste assessment system recommends a consumable or other item. The system develops a preference model for the representing associations between a person's ratings of items and a set of item characteristics. The system uses the preference model and an item database that contains characteristic values for a group of items to identify a candidate item having characteristics that correspond to traits that the person found to be appealing. The system then causes an electronic device to output an identification of the candidate item.

Abstract: A personal taste assessment system recommends and predicts a person's preference for a consumable or other item. The system accesses a user profile for a person. The user profile includes a preference model representing associations between the person's ratings of items and a set of item characteristics. The system also accesses a database of characteristic values for a group of items, uses the identifying information to identify a candidate item having characteristic values whose properties match characteristics associated with the rated items that the person found to be appealing, and processes the characteristic values of the candidate item with the user profile to generate a predicted rating as a prediction of how the person would rate the identified candidate item. The system then causes an electronic device to output an identification of the candidate item and the predicted rating.

Abstract: Methods and systems are disclosed for a sequential federated query for information in residential, commercial, and/or distributed systems.

Abstract: Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system.

Abstract: This document describes a method and system for recommending items, such as beverages, that members of a group are likely to find appealing. When group members are identified, the system may identify one or more preference models for each member. Each preference model represents a pattern of dependency between characteristics of items that the member has rated and the member's ratings for those items. The system may develop a group preference profile by merging the patterns of dependency for each of the members into a group preference model. Then, when it receives a request for a recommendation for an item, the system uses the group preference profile to select, from a database, a candidate item having characteristics which are likely to appeal to many or all members of the group.

Abstract: This document describes a method and system for recommending items, such as beverages, that members of a group are likely to find appealing. When group members are identified, the system may identify one or more preference models for each member. Each preference model represents a pattern of dependency between characteristics of items that the member has rated and the member's ratings for those items. The system may develop a group preference profile by merging the patterns of dependency for each of the members into a group preference model. Then, when it receives a request for a recommendation for an item, the system uses the group preference profile to select, from a database, a candidate item having characteristics which are likely to appeal to many or all members of the group.