Abstract: A blockchain may store transactions for various purposes which may be later accessed by interested parties for ledger verification. One example method of operation may comprise one or more of receiving a blockchain transaction, identifying a proof-of-work is generated for the blockchain transaction via a network entity, transmitting the proof-of-work and a select portion of ledger data to a registered third party via an encrypted message based on a third party key, validating the proof-of-work via the third party, and providing a reward to the network entity.

Abstract: A method and system for sizing databases. Multiple patterns of historical capacity usage by multiple databases in a computer system are identified. The multiple patterns are statistically significant for multiple characteristics due to the multiple databases including an input value of each characteristic of multiple characteristics pertaining to utilization of the multiple databases. A weighted value of capacity usage is computed as ACP*FC*PC, wherein ACP=an average value of historical capacity points for each pattern, FC=fraction of the characteristics associated with each pattern, and PC=a fraction of the multiple databases used for each pattern. One or more current databases are sized via utilization of the computed total value of capacity usage. A virtual machine or a new server of the computer system is created. The virtual machine or new server includes the sized one or more current databases.

Abstract: A method and system. The method includes receiving datacenter context input information, processing the datacenter context input information, and outputting the cost-versus-datacenter-quantity information. The processing the datacenter context input information may generate the cost-versus-datacenter-quantity information. The cost-versus-datacenter-quantity information is a total datacenter cost to run an application versus a quantity of datacenters used to run the application.

Abstract: Approaches presented herein enable tailoring messages to enhance sharing and resonance based on a community fingerprint and a key influencer. More specifically, a message to be directed to members of an online social community is received. Members of the social community who influence the social community and their likelihood to re-share messages are identified. A re-share fingerprint for the identified influencer is generated that maps the influencer's likelihood to re-share content. A communications fingerprint of the community is also created using an amalgamation of the communication patterns and styles of individual members of the community. The received message is optimized to most effectively target the message to the online social community and to solicit a desired response from the community based on the community communication fingerprint. The optimized message can then be forwarded to the online social community.

Abstract: Determining relevant dates associated with a purchase of a product and allow for those dates to be sent as a reminder to the purchaser in a commerce environment.

Abstract: Disclosed embodiments provide a temporary privacy mode for an electronic device. The user selects one or more regions of allowable content and/or unallowable content. The user then invokes a temporary privacy mode of the device. While the device is in the temporary privacy mode, only the allowable content is viewable on the display of the electronic device. The unallowable content is obfuscated or hidden from view. The third party therefore cannot see the content deemed private by the user. When the third party has completed review of the content, the user can exit the temporary privacy mode to return to normal operation.

Abstract: A computer-implemented for delivering tailored content to an individual includes: obtaining, by a computer system, communications of the individual; obtaining, by the computer system, a communication fingerprint for the individual based on analysis of the communications of the individual; tailoring, by the computer system, a message to the individual using the communication fingerprint; and delivering the message to the individual. Using sentiment analysis combined with a unique communication fingerprint for an individual advantageously provides for a more tailored, and thus more effective, communication to the individual.

Abstract: Systems and methods for customer touchpoint pattern and sentiment analysis are disclosed. In embodiments, a computer-implemented method comprises: detecting, by a computer device, the presence of a mobile device of a participant within a venue during a first event; monitoring, by the computing device, the location of the mobile device of the participant within the venue during the first event; detecting, by the computing device, at least one interaction event between the participant and a venue associate; recording, by the computing device, first event data including interaction event data; detecting, by the computing device, the presence of the mobile device of the participant within the venue during a second event; determining, by the computing device, one or more customer service parameters based on the first event data; and generating, by the computing device, an alert based on the one or more customer service parameters.

Abstract: Methods and systems may provide for detecting a sharing event with respect to an original uniform resource locator (URL) and replacing one or more characters of the original URL with a context attribute of the sharing event to obtain a modified URL. Additionally, a user prompt may be generated, wherein the user prompt includes a recommendation to substitute the modified URL for the original URL. In one example, at least a portion of the context attribute is independent of a web page associated with the original URL.

Abstract: Methods and computer program products relate to indicating search result relevancy that includes accepting a first set of query terms from a user, providing the user with a first set of search results corresponding to the first set of query terms, accepting from the user at least one indication of result relevancy from the first set of search results, accepting a second set of query terms from the user, the second set of query terms including the same or similar query terms to the first set of query terms, providing the user with a second set of search results corresponding to the second set of query terms, the second set of search results including one or more search results from the first set of search results, and including the indication of result relevancy in the second set of search results.

Abstract: Approaches presented herein enable tailoring messages to enhance sharing and resonance based on a community fingerprint and a key influencer. More specifically, a message to be directed to members of an online social community is received. Members of the social community who influence the social community and their likelihood to re-share messages are identified. A re-share fingerprint for the identified influencer is generated that maps the influencer's likelihood to re-share content. A communications fingerprint of the community is also created using an amalgamation of the communication patterns and styles of individual members of the community. The received message is optimized to most effectively target the message to the online social community and to solicit a desired response from the community based on the community communication fingerprint. The optimized message can then be forwarded to the online social community.

Abstract: A method and system for sizing databases. Multiple patterns of historical capacity usage by multiple databases in a computer system are identified. The multiple patterns are statistically significant for multiple characteristics due to the multiple databases including an input value of each characteristic of multiple characteristics pertaining to utilization of the multiple databases. A weighted value of capacity usage is computed as ACP*FC*PC, wherein ACP=an average value of historical capacity points for each pattern, FC=fraction of the characteristics associated with each pattern, and PC=a fraction of the multiple databases used for each pattern. One or more current databases are sized via utilization of the computed total value of capacity usage. A virtual machine or a new server of the computer system is created. The virtual machine or new server includes the sized one or more current databases.

Abstract: Approaches presented herein enable tailoring messages to enhance sharing and resonance based on a community fingerprint and a key influencer. More specifically, a message to be directed to members of an online social community is received. Members of the social community who influence the social community and their likelihood to re-share messages are identified. A re-share fingerprint for the identified influencer is generated that maps the influencer's likelihood to re-share content. A communications fingerprint of the community is also created using an amalgamation of the communication patterns and styles of individual members of the community. The received message is optimized to most effectively target the message to the online social community and to solicit a desired response from the community based on the community communication fingerprint and the re-share fingerprint of the influencer. The optimized message can then be forwarded to the online social community.

Abstract: A method and system for sizing databases. Multiple patterns of historical capacity usage by multiple databases are identified. The multiple patterns are statistically significant for multiple characteristics pertaining to utilization of multiple historic databases. The capacity usage is memory usage or central processing unit (CPU) usage. A weighted value of capacity usage is computed for each pattern as an average value of historical capacity usage for each pattern weighted by a function of a fraction of the multiple databases used for each pattern. A total value of capacity usage is computed as a sum of the weighted values of capacity usage. The computed total value of capacity usage is stored. A current database is sized, utilizing the computed total value of capacity usage. The database sizing may be based on query complexity in dependence on rates of occurrence of queries to the historic databases and to the current database.

Abstract: Systems and methods for customer touchpoint pattern and sentiment analysis are disclosed. In embodiments, a computer-implemented method comprises: detecting, by a computer device, the presence of a mobile device of a participant within a venue during a first event; monitoring, by the computing device, the location of the mobile device of the participant within the venue during the first event; detecting, by the computing device, at least one interaction event between the participant and a venue associate; recording, by the computing device, first event data including interaction event data; detecting, by the computing device, the presence of the mobile device of the participant within the venue during a second event; determining, by the computing device, one or more customer service parameters based on the first event data; and generating, by the computing device, an alert based on the one or more customer service parameters.

Abstract: Systems and methods for customer touchpoint pattern and sentiment analysis are disclosed. In embodiments, a computer-implemented method comprises: detecting, by a computer device, the presence of a mobile device of a participant within a venue during a first event; monitoring, by the computing device, the location of the mobile device of the participant within the venue during the first event; detecting, by the computing device, at least one interaction event between the participant and a venue associate; recording, by the computing device, first event data including interaction event data; detecting, by the computing device, the presence of the mobile device of the participant within the venue during a second event; determining, by the computing device, one or more customer service parameters based on the first event data; and generating, by the computing device, an alert based on the one or more customer service parameters.

Abstract: A computer-implemented for delivering tailored content to an individual includes: obtaining, by a computer system, communications of the individual; obtaining, by the computer system, a communication fingerprint for the individual based on analysis of the communications of the individual; tailoring, by the computer system, a message to the individual using the communication fingerprint; and delivering the message to the individual. Using sentiment analysis combined with a unique communication fingerprint for an individual advantageously provides for a more tailored, and thus more effective, communication to the individual.

Abstract: Embodiments of the present invention provide methods, systems, and computer program products for re-launching contextually related application sets. In one embodiment, applications which are contextually-related are saved to a profile, along with the state of each application and data associated with each application. The set of applications, along with saved state and data, can be re-launched responsive to a trigger.

Abstract: A computer-implemented for delivering tailored content to an individual includes: obtaining, by a computer system, communications of the individual; obtaining, by the computer system, a communication fingerprint for the individual based on analysis of the communications of the individual; tailoring, by the computer system, a message to the individual using the communication fingerprint; and delivering the message to the individual. Using sentiment analysis combined with a unique communication fingerprint for an individual advantageously provides for a more tailored, and thus more effective, communication to the individual.

Abstract: A method for event notification. In one embodiment, the method includes a computer processor identifying a profile of a first user, wherein the profile of the first user includes one or more profile elements. The method further includes identifying a plurality of users having a corresponding profile that includes at least one profile element in common with the identified profile of the first user. The method further includes identifying a computer network accessible resource. The method further includes determining an increase in activity of the identified computer network accessible resource by the identified plurality of users. The method further includes communicating a notification to the first user, wherein the communicated notification provides an indication of the determined increase in activity of the identified computer network accessible resource by the identified plurality of users.