Abstract: Embodiments described herein relate generally to receiving information from a mobile device and selecting content to be provided to that mobile device based on the received information. An audience may be identified that is to include the mobile device and/or a user thereof based on the information received from the mobile device. The identified audience may be associated with a campaign. Accordingly, content also associated with the campaign may be identified. This content may be sent to a mobile device associated with the user. A relevancy value may be calculated to indicate whether the content should be provided to the mobile device. If the relevancy value does not meet or exceed a predetermined threshold, then the content may not be provided to the mobile device. Other embodiments may be described and/or claimed.

Abstract: A method of determining a risk score indicating a risk that an electronic transaction will involve fraud and/or abuse. The method includes receiving transaction data associated with a not yet completed transaction from a merchant. The transaction data includes one or more characteristics related to the transaction. A profile is selected that identifies network devices each associated with the characteristics and having a device reputation. Next, a profile-based risk factor is determined as a function of a percentage of the network devices having a negative reputation. The risk score is determined as a function of the profile-based risk factor. In some embodiments, a transaction-based risk factor may also be determined. In such embodiments, the risk score is determined as a function of the profile-based and transaction-based risk factors. The risk score is provided to the merchant to be used thereby to determine whether to proceed with the transaction.

Abstract: A method of determining a risk score indicating a risk that an electronic transaction will involve fraud and/or abuse. The method includes receiving transaction data associated with a not yet completed transaction from a merchant. The transaction data includes one or more characteristics related to the transaction. A profile is selected that identifies network devices each associated with the characteristics and having a device reputation. Next, a profile-based risk factor is determined as a function of a percentage of the network devices having a negative reputation. The risk score is determined as a function of the profile-based risk factor. In some embodiments, a transaction-based risk factor may also be determined. In such embodiments, the risk score is determined as a function of the profile-based and transaction-based risk factors. The risk score is provided to the merchant to be used thereby to determine whether to proceed with the transaction.

Abstract: Methods, apparatuses, and articles for receiving, by a computing device, a search request, the search request specifying an outcome type and one or more candidate query parameter values are described herein. The computing device may also select some or all of the candidate query parameter values by filtering the candidate query parameter values in view of a plurality of patterns associated with the outcome type to facilitate querying of a database with the selected query parameter values.

Abstract: A graphics endowed, computer-based system, and an associated methodology, for performing diagnoses of medical problem-types. The system and methodology utilize (a) a digital computational engine, (b) a database operatively connected to the engine including a storage medium which contains medical-problem-type-related, anatomical, graphics data components, some of which have characteristics of non-normalization that are linked through relevance short-cutting to other components which have characteristics of normalization, and (c) a user-interactive, graphical interface including a display screen operatively connected both to the engine and to the database, operable under engine control to display selected ones of the mentioned graphics data components in both user-interactive sensitized-input, and user-informative-output, modes during medical problem-type diagnosis performed by the system.

Abstract: A computer-based method and apparatus for assessing problems and situations in a defined knowledge domain, employing both (a) an inferential database of elemental data components, as domain-wide as possible, which are relevant to the domain, and (b) periodic statistical reviews of reported Assessment results in relation to that database to establish the certainty levels of such results. The invention employs nonlinear assessment techniques likenable to human reasoning, and thereby, as well as in other ways, conducts Assessment tasks in a manner that differentiates it from conventional, machine-based, linear problem resolution.