Abstract: Methods and systems for optimizing the retrieval of data from multiple sources are described. A slot map including slots for the storage of data elements can be obtained. The data elements associated with the slots can be prioritized by weighting values with costs of retrieving the data elements from respective data sources. Each value can be associated with a different data element and can indicate a respective degree of importance of the associated data element. Further, the systems and methods can direct the retrieval of data elements from the respective data sources in an order in accordance with the priority of the data elements to optimize the quality of data obtainable within a critical time constraint. In addition, the retrieved data elements can be stored in corresponding slots on a storage medium.

Abstract: Embodiments of the present invention disclose a computer system for optimizing data analysis. A set of analytics are received and a plurality of subsets of the set of analytics is generated. An optimization goal(s) is defined. The plurality of subsets of analytics are applied to a set of data. The output of applied analytics are recorded on a data storage device by the computer. Performance values of the computer applying the plurality of subsets of analytics are recorded and displayed. An optimal subset of the plurality of subsets of analytics is calculated, using recorded performance values and outputs of the applied plurality of subsets of analytics, being based on the optimization goal. A set of applied analytics are displayed, where the set of applied analytics includes a number of subsets of analytics of the plurality of analytics that meet the criteria of the optimal subset.

Abstract: Embodiments of the present invention disclose a computer program product for optimizing data analysis. A set of analytics are received and a plurality of subsets of the set of analytics is generated. An optimization goal(s) is defined. The plurality of subsets of analytics are applied to a set of data. The output of applied analytics are recorded on a data storage device by the computer. Performance values of the computer applying the plurality of subsets of analytics are recorded and displayed. An optimal subset of the plurality of subsets of analytics is calculated, using recorded performance values and outputs of the applied plurality of subsets of analytics, being based on the optimization goal. A set of applied analytics are displayed, where the set of applied analytics includes a number of subsets of analytics of the plurality of analytics that meet the criteria of the optimal subset.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for optimizing data analysis. A set of analytics are received and a plurality of subsets of the set of analytics is generated. An optimization goal(s) is defined. The plurality of subsets of analytics are applied to a set of data. The output of applied analytics are recorded on a data storage device by the computer. Performance values of the computer applying the plurality of subsets of analytics are recorded and displayed. An optimal subset of the plurality of subsets of analytics is calculated, using recorded performance values and outputs of the applied plurality of subsets of analytics, being based on the optimization goal. A set of applied analytics are displayed, where the set of applied analytics includes a number of subsets of analytics of the plurality of analytics that meet the criteria of the optimal subset.

Abstract: Embodiments of the present invention disclose a method for optimizing data analysis. A set of analytics are received and a plurality of subsets of the set of analytics is generated. An optimization goal(s) is defined. The plurality of subsets of analytics are applied to a set of data. The output of applied analytics are recorded on a data storage device by the computer. Performance values of the computer applying the plurality of subsets of analytics are recorded and displayed. An optimal subset of the plurality of subsets of analytics is calculated, using recorded performance values and outputs of the applied plurality of subsets of analytics, being based on the optimization goal. A set of applied analytics are displayed, where the set of applied analytics includes a number of subsets of analytics of the plurality of analytics that meet the criteria of the optimal subset.

Abstract: Embodiments of the present invention disclose a method for optimizing data analysis. A set of analytics are received and a plurality of subsets of the set of analytics is generated. An optimization goal(s) is defined. The plurality of subsets of analytics are applied to a set of data. The output of applied analytics are recorded on a data storage device by the computer. Performance values of the computer applying the plurality of subsets of analytics are recorded and displayed. An optimal subset of the plurality of subsets of analytics is calculated, using recorded performance values and outputs of the applied plurality of subsets of analytics, being based on the optimization goal. A set of applied analytics are displayed, where the set of applied analytics includes a number of subsets of analytics of the plurality of analytics that meet the criteria of the optimal subset.

Abstract: A method for deconvolution of digital images includes obtaining a degraded image from a digital sensor, a processor accepting output from the digital sensor and recognizing a distorted element within the image. The distorted element is compared with a true shape of the element to produce a degrading function. The degrading function is deconvolved from at least a portion of the image to improve image quality of the image. A method of indirectly decoding a barcode includes obtaining an image of a barcode using an optical sensor in a mobile computing device, the image comprising barcode marks and a textual character. The textual character is optically recognized and an image degrading characteristic is identified from the textual character. Compensating for the image degrading characteristic renders previously undecodable barcode marks decodable. A system for deconvolution of digital images is also included.

Abstract: A method for deconvolution of digital images includes obtaining a degraded image from a digital sensor, a processor accepting output from the digital sensor and recognizing a distorted element within the image. The distorted element is compared with a true shape of the element to produce a degrading function. The degrading function is deconvolved from at least a portion of the image to improve image quality of the image. A method of indirectly decoding a barcode includes obtaining an image of a barcode using an optical sensor in a mobile computing device, the image comprising barcode marks and a textual character. The textual character is optically recognized and an image degrading characteristic is identified from the textual character. Compensating for the image degrading characteristic renders previously undecodable barcode marks decodable. A system for deconvolution of digital images is also included.

Abstract: Embodiments of the disclosure relate to automatic analytic driven markup for rapid handling of forms. Aspects include receiving a form, identifying one or more characters on the form by performing optical character recognition on the form, and identifying one or more phrases of interest from the one or more characters using automated analytics. Aspects also include generating a map of a spacial location of each of the one or more phrases of interest on the form and creating a revised form based on the form and the map.

Abstract: Disclosed herein is a system to validate information about a user, or users, derived from publicly-accessible data. The system comprises a validation system that uses private data about the user to validate the user information derived from the publicly-accessible data. The validation system may receive a validation request in connection with an inconclusive result derived from the publicly-accessible data.

Abstract: Disclosed is a system and method for automatically pre-delivering messages such as emails that satisfy a certain criteria. Upon a received email satisfying certain criteria conforming to a pattern, an appropriate rule is triggered which pre-delivers an email(s) to other appropriate inboxes. The pre-delivered emails are marked with a display flag and a time-to-live (TTL) flag. The display flag masks the pre-delivered email. The display flag results in the pre-delivered email being hidden until the sending user actually executes the send/forward action. At that time, the display flag is toggled so that the pre-delivered email is instantly displayed in the recipient's inbox. The TTL flag set enables pre-delivered emails to have a life-span, such that in cases where the user chooses not to forward/send the email, they auto-destruct after a period of time.

Abstract: Methods and arrangements for handling encrypted messages are disclosed. The method comprising: generating a multi-part encrypted support message responsive to a request therefor; the generating comprising: inputting a base message; identifying at least one span of sensitive information; visually suppressing the at least one span of sensitive information; replacing the at least one span of sensitive information with a redaction notation; and appending at least one redaction message for the at least one span of sensitive information, the at least one redaction message containing data redacted from the at least one span of insensitive information and being encrypted for subsequent opening via at least one key. Other embodiments are disclosed.

Abstract: Techniques are described for identifying advertising content that should not be shown to users. Information representing characteristics of a user, behavior of the user, and/or events in the life of that user is used to filter out or negatively bias selection of inappropriate or irrelevant ads.

Abstract: Users may receive content (e.g., an email, an app interface, a website, a social media post, etc.) comprising a first advertisement. The first advertisement may be evaluated to extract advertisement features (e.g., an item, an item price, a supplemental term of the first advertisement, etc.). An advertisement opportunity may be offered to a second advertiser through an advertiser exchange interface. The second advertiser may generate an advertisement bid to show a second advertisement for the item. Responsive to the advertisement bid being more favorable to the user than the first advertisement (e.g., a lower price, the item with enhanced features for a similar price, etc.), the first advertisement and the second advertisement may be presented with the content to the user.

Abstract: Users may discuss recurring events (e.g., events occurring seasonally, periodically, annually, etc.) through content (e.g., an email message, social network data, natural language conversation, etc.). The user may need to purchase a product and/or a service based upon a recurring event (e.g., a birthday gift), but may have difficulty determining what to purchase and/or may have forgotten about the recurring event. As provided herein, once identified, the recurring event may be added to a calendar of the user. An event type (e.g., a birthday event type, a seasonal event type, an annual event type, a periodic event type; etc.) of the recurring event may be identified. Supplemental content (e.g., an advertisement, a product recommendation, and/or a service recommendation), identified based upon the event type, past purchases related to the recurring event, a relationship of the user to the recurring event, etc., may be provided to the user.

Abstract: One or more methods and/or techniques for providing an advertisement to a user are provided herein. Message communication associated with a user may be evaluated to identify message content (e.g., a forum post soliciting a recommendation for vacuum cleaners). The message content may be evaluated to identify recommendation content (e.g., a vacuum cleaner recommendation). The recommendation content may comprise a recommendation request and/or a recommendation for the recommendation request. An advertisement corresponding to the recommendation content may be identified (e.g., a vacuum cleaner advertisement). The advertisement may be displayed to the user.

Abstract: Briefly, embodiments disclosed herein relate to obtaining bids on user-qualified advertisement offers.

Abstract: Disclosed herein is a system to validate information about a user, or users, derived from publicly-accessible data. The system comprises a validation system that uses private data about the user to validate the user information derived from the publicly-accessible data. The validation system may receive a validation request in connection with an inconclusive result derived from the publicly-accessible data.

Abstract: Disclosed are systems and methods for improving interactions between servers in a messaging system supported by or configured with advertising servers or platforms. The systems interact to filter data across platforms, which data can be used to improve the contextual quality of data used in processing interactions between or among processors in such systems.

Abstract: Disclosed are computer systems and methods for contextually targeted advertising using a regular periodicity of information derived from a user's messaging behavior. The disclosed systems and methods enable the prediction of future purchases based on a periodicity analysis of a user's purchase history, whereby advertisements can be targeted to the user based on the user's determined purchase habits. The disclosed systems and methods analyze a user's inbox by mining for purchase receipt messages, and determine a frequency of purchases associated with such receipts. Based on the determined frequency, the disclosed systems and methods can predict when subsequent like or similar purchases are to occur, whereby relevant advertisements or coupons may be served to the user in advance of the projected purchases.