Abstract: Systems, methods and computer-accessible mediums can be provided that can determine an audience interest distribution(s) of content(s) by, for example, receiving first information related to a web behavior(s) of a user(s), determining second information related to a user interest distribution(s) of the user(s) based on the first information, and determining determine the audience interest distribution(s) of the content(s) based on the second information.

Abstract: Classification of collections of items such as words, which are called “document classification,” and more specifically explaining a classification of a document, such as a web-page or website. This can include exemplary procedure, system and/or computer-accessible medium to find explanations, as well as a framework to assess the procedure's performance. An explanation is defined as a set of words (e.g., terms, more generally) such that removing words within this set from the document changes the predicted class from the class of interest. The exemplary procedure system and/or computer-accessible medium can include a classification of web pages as containing adult content, e.g., to allow advertising on safe web pages only. The explanations can be concise and document-specific, and provide insight into the reasons for the classification decisions, into the workings of the classification models, and into the business application itself.

Abstract: Exemplary systems, methods, and computer-accessible mediums can be provided to manage a preferences associated with a user, which can include receiving information related the preferences of a user(s), determining if an inference(s) about the user(s) can be drawn from the preferences to generate further data, remove a particular preference from the preferences based on the further data, further determining if the inference(s) continues to be drawn.

Abstract: Exemplary systems, methods and computer-accessible mediums for generating a demographics model can be provided, which can include, for example, receiving information related to content information, generating a plurality of clusters based on the content information, and generating a demographics model based on demographics information for each of the clusters.

Abstract: Exemplary systems, methods and computer accessible medium can be provided for customer acquisition using social targeting can receive first information regarding at least one customer user associated with a particular node, determine second information based, at least in part, on the first information, receive third information regarding at least one non-customer user associated with the particular node, and determine fourth information based, at least in part, on the second information and the third information.

Abstract: Exemplary systems, methods, and computer-accessible mediums can be provided to manage a preferences associated with a user, which can include receiving information related the preferences of a user(s), determining if an inference(s) about the user(s) can be drawn from the preferences to generate further data, remove a particular preference from the preferences based on the further data, further determining if the inference(s) continues to be drawn.

Abstract: Systems, methods and computer-accessible mediums can be provided that can determine an audience interest distribution(s) of content(s) by, for example, receiving first information related to a web behavior(s) of a user(s), determining second information related to a user interest distribution(s) of the user(s) based on the first information, and determining determine the audience interest distribution(s) of the content(s) based on the second information.

Abstract: Classification of collections of items such as words, which are called “document classification,” and more specifically explaining a classification of a document, such as a web-page or website. This can include exemplary procedure, system and/or computer-accessible medium to find explanations, as well as a framework to assess the procedure's performance. An explanation is defined as a set of words (e.g., terms, more generally) such that removing words within this set from the document changes the predicted class from the class of interest. The exemplary procedure system and/or computer-accessible medium can include a classification of web pages as containing adult content, e.g., to allow advertising on safe web pages only. The explanations can be concise and document-specific, and provide insight into the reasons for the classification decisions, into the workings of the classification models, and into the business application itself.

Abstract: Networked data can, e.g., define connections between similar entities. Such data can be valuable for, e.g., improving business revenue opportunities (e.g., increasing sales, reducing customer attrition/churn, etc.) as networked data can capture similarities that can be often hard to encapsulate in traditional variables such as, e.g., socio-demographics. For example, related research has generally focused on the case where social network data was obtained directly or indirectly from online data, or from offline call logs in a telecommunication setting. Results can be implemented when inferring the values of target variables over the networked data. Methods, computer-accessible medium and systems according to exemplary embodiments of the present disclosure for creating privacy-friendly pseudo-social networked (PSN) data from off-line banking data can be provided. Exemplary PSN in accordance with certain exemplary embodiments of the present disclosure can be used, e.g.

Abstract: A process, system and computer software are provided to produce at least two solutions related to a knowledge discovery from data. In particular, the information regarding operators which are usable for the knowledge discovery of the data is received, and the solutions are generated. Each of the solutions includes at least one of the operators. An ability is provided to select at least one of the solutions so as to execute one or more procedures from the data. Each of the procedures is associated with the operator of the respective solution. In addition, it is possible to include a variable number of the operators in at least one (and possibly all) of the solutions. Also, it is possible to generate a code for at least one automatically-generated solution. In particular, access to the automatically-generated solution can be obtained with this solution that includes operators usable for the knowledge discovery of the data.

Abstract: A process, system and computer software are provided to produce at least two solutions related to a knowledge discovery from data. In particular, the information regarding operators which are usable for the knowledge discovery of the data is received, and the solutions are generated. Each of the solutions includes at least one of the operators. An ability is provided to select at least one of the solutions so as to execute one or more procedures from the data. Each of the procedures is associated with the operator of the respective solution. In addition, it is possible to include a variable number of the operators in at least one (and possibly all) of the solutions. Also, it is possible to generate a code for at least one automatically-generated solution. In particular, access to the automatically-generated solution can be obtained with this solution that includes operators usable for the knowledge discovery of the data.