Abstract:
A method for dynamically assembling a mobile application includes the steps of: (i) receiving, from a user, a request for a mobile application comprising at least one parameter; (ii) searching a profile database for a profile associated with the user; (iii) retrieving, from any identified profiles, a characteristic of the user; (iv) identifying a plurality of artifacts in a database of artifacts, wherein the plurality of artifacts are associated with the at least one parameter; (v) assembling the identified plurality of artifacts into a mobile application installable file; (vi) making the installable file available to the user.
Abstract:
A method for dynamically assembling a mobile application includes the steps of: (i) receiving, from a user, a request for a mobile application comprising at least one parameter; (ii) searching a profile database for a profile associated with the user; (iii) retrieving, from any identified profiles, a characteristic of the user; (iv) identifying a plurality of artifacts in a database of artifacts, wherein the plurality of artifacts are associated with the at least one parameter; (v) assembling the identified plurality of artifacts into a mobile application installable file; (vi) making the installable file available to the user.
Abstract:
Generating recommendations for an individual based on a mood of the individual. Receiving information corresponding to one or more activities associated with an individual over a period of time. The received information corresponding to the one or more activities associated with the individual is processed to detect a mood of the individual. A recommendation is generated for the individual based on the detected mood of the individual and a future event associated with the individual. The future event has an occurrence at a later time instance.
Abstract:
A computer retrieves profile information of a participant of a multi-party communication. The computer identifies an original jargon included in the multi-party communication based, at least in part, on the profile information. The computer generates a translated jargon by translating the original translated jargon, wherein the translated jargon can be understood by the participant of the multi-party communication. The computer sends the translated jargon to the participant of the multi-party communication.
Abstract:
A system and method that improves and enhances the customer's in-store shopping experience. The consumer product of purchase interest or intent to buy expresses (or self-announces via technology) it's match (or fit based on known or understood buying habits, customer taste, tendencies, etc) against the customer preferences during an in-store shopping experience.
Abstract:
A method, computer system, and computer program product for cognitively adjusting a notification alert delivery time are provided. The embodiment may include receiving a message notification from a sender. The embodiment may also include determining an importance of the received message notification based on a plurality of notification attributes and a plurality of person attributes that are each associated with the received message notification. The embodiment may further include, in response to determining to alert a user of the received message notification based on the determined importance, identifying a current user sleep stage. The embodiment may also include, in response to determining the current user sleep stage will minimally impact the user, transmitting the received message notification to a user device.
Abstract:
Embodiments of the present invention disclose a method, computer program product, and system for generating a schedule for promotions using promotional windows. A set of product data associated with a plurality of products is received. Promotion data is received, and a plurality of intensity scores are calculated for the associated promotional data. A set of target product data associated with a target product is determined. A set of target promotional attributes is determined and a plurality of promotion windows are generated for display. A confidence value is determined for each generated promotion window of the plurality of promotion windows. An order list is generated for display. In response to receiving a second set of promotion data, the determined confidence value is modified for each generated promotion window of the plurality of promotion windows.
Abstract:
A method and system for automatically implementing vehicular implemented projection improvement process is provided. The method includes directing flying vehicles to a location comprising a projection apparatus. The vehicles are directed such that each vehicle is periodically positioned within a perimeter surrounding the location with respect to multiple lines of sight of the projection device. The location is monitored and obstructions and associated positions with respect to each line of sight are determined. Resulting parameters associated with the projection device, weather conditions, projection content, and the obstructions and associated positions are determined and a virtual visibility fence associated with an area for viewing the projection content on the projection device is generated. Specified projection content for projecting on a specified portion of the projection device is determined and projected.
Abstract:
Generating recommendations for an individual based on a mood of the individual. Receiving information corresponding to one or more activities associated with an individual over a period of time. The received information corresponding to the one or more activities associated with the individual is processed to detect a mood of the individual. A recommendation is generated for the individual based on the detected mood of the individual and a future event associated with the individual. The future event has an occurrence at a later time instance.
Abstract:
A computer system monitors a user to assess product preferences. A video from an image capture device monitoring a user is analyzed. An image is selected from the video of the user for image processing, wherein the user is visible in the frame. The selected image is processed to determine one or more products used by the user. One or more product recommendations are determined based on the one or more products used by the user. Embodiments of the present invention further include a method and program product for assessing product preferences for a user in substantially the same manner described above.