Abstract: An authentication component to authenticate users can generate a unique identification for a user based on device characteristics, operating characteristics, and the like. The authentication component can provide authentication of a user to applications. Applications can provide a user with personalized content based on the authentication.

Abstract: Employee satisfaction and the possibility of an employee job change are predicted. Data can be collected related to employee internet usage, employee mobile device telecom usage, employee human resource data, or employee demographic data. By analyzing this collection data, employees that are satisfied or dissatisfied can be identified. In addition, it can also be determined how likely an employee is to make a job change.

Abstract: A conversation is facilitated that ascertains the emotional state of a user in order to recommend media content such as a movie, film, video, digital book, or other media content for enjoyment. Based on the emotional stated ascertained, media content is recommended as selections, in which a user can select via a user device to receive the recommended media content. A set of measures are further generated for one or more users to rate media content based on an emotion caused by the media content. The measures include emoticons, a text message, and/or a multiple choice selection, for example, by which the user can used to communicate the emotion caused by the media content. A tagging component tags the media content with the measure at one or more segments of the content based on the measure received from users.

Abstract: An authentication component to authenticate users can generate a unique identification for a user based on device characteristics, operating characteristics, and the like. The authentication component can provide authentication of a user to applications. Applications can provide a user with personalized content based on the authentication.

Abstract: Validation measures related to information obtained from publicly available data sources are generated for providing recommendations about a potential client. Trusted search criteria are used to obtain a set of query results. These results are used to gather metadata associated with a potential client for loan offers. The validation measures are initiated from the associations and used to modify the search criteria or identifying data for searching further. A credit worthiness score related to the potential client is configured based on the validation scores and relevancy of the data. The client information is updated dynamically with continued modification of the initial search criteria in order to alter a scope and improve an accuracy of information.

Abstract: Generally described is auto annotation of content. A network service can receive at least partly textual content. The content can be automatically annotated to generate varying sets of the content. The varying sets of content can include varying levels of annotation to better meet user preferences or device capabilities. One or more of the varying sets of content can be output to a content browser, allowing a user of the content browser to see an annotated version of the content.

Abstract: System and methods are disclosed for employing a matrix that maps known terms to tag values based on pre-existing tag value assignments in order to automatically assign tags to item descriptions. In particular, the matrix maps terms to tags as a function of pre-existing associations between the terms and the tags in one or more external data sources. A term generation component receives a description comprising a plurality of terms and filters the description to identify a subset of the plurality of terms. A tag assignment component then identifies one or more tags associated with the subset of the plurality of terms in the data matrix and assigns the one or more tags to the description.

Abstract: Disclosed are electronic systems and techniques for implementing dynamic recommendations based on psychological types. A dynamic association component can associate recommendation features employed in a network site, such as a web portal, with respective psychological types based on a set of usage data for the web portal and/or the recommendation features. A dynamic feature provisioning component can determine a psychological type corresponding to a user, and provide recommendation features associated with the psychological type to the user during interaction with the web portal.

Abstract: Systems, methods, and apparatus for dynamically providing an incentive to a customer of a service based on a detected unexpected behavior of the customer are presented herein. A model component can create a model associated with a service based on information associated with a use of the service. Further, a prediction component can predict, based on the model, a behavior of a user associated with the use of the service. Furthermore, a scoring component can identify a deviation from the behavior and determine an action associated with the user based on the deviation from the behavior. In an aspect, the action can be communication of an incentive directed to a network-enabled device.

Abstract: Disclosed are systems and techniques that generate a set of measures for one or more users to rate media content. A user, for example, indicates her emotions towards the media content according to one or more various inputs. As inputs are received, the inputs are analyzed and associated with at least one of the set of measures to rate the media content according to an emotion. For example, the set of measures include images that indicate various emotions. These measures are associated with the inputs received from the one or more users, and used to evaluate the media content according to the one or more users emotions detected. Therefore, potential users have additional metrics for evaluating potential media content before purchasing, viewing, interacting with, or sharing the media content.

Abstract: Disclosed are electronic systems and techniques that generate an information graph with associated validation measures related to information obtained from data sources for providing recommendations about a potential candidate for a financial product. Search results are used to gather data associated with a potential client for loan offers. Levels of certainty are initiated from the associations and used to modify the search criteria or identifying data for searching further. A credit worthiness score related to the potential client is configured based on the information graph.

Abstract: Techniques for automatic modification of an image for display on a different device are presented. A content management component can analyze image content associated with a first image display frame, wherein the image content can be displayed in the first image display frame in accordance with a first subset of display characteristics of a first display. In relation to displaying the image content within a second image display frame on a second display, the content management component can automatically or dynamically modify the image content for display in the second image display frame on the second display so that the image content is displayed in the second image display frame to at least substantially correspond to the display of the image content in the first image display frame, in accordance with a second subset of display characteristics of the second display.

Abstract: Disclosed are electronic systems and techniques for implementing dynamic risk assessment and credit standards generation. The risk assessment component can dynamically determine a risk of lending to a potential borrower based on a set of risk assessment criteria, and classify the potential borrower based on the risk. In addition, the risk assessment component can forecast a subset of the risk assessment criteria. A standards generation component can dynamically generate a set of lending criteria for respective classifications of potential borrowers based at least in part on a set of predetermined criterion or previous lending outcomes. An approval component can determine whether the potential borrower is eligible for one or more loans as a function of the set of lending criteria corresponding to the determined classification, and a terms component can generate a set of terms for the one or more loans.

Abstract: Disclosed are electronic systems and techniques for implementing credit scoring based on information aggregation. An aggregator component can obtain data relating to a user from virtually any open, publicly available, or private sources of information, and generate, or update, a profile of candidate characteristics based on the information obtained. A scoring calculation component can inspect the profile of candidate characteristics, determine a set of factors included in the profile of candidate characteristics that are relevant for a loan or credit eligibility determination, and rate the factors. A credit score for the user can be generated based on the ratings of the factors, and the eligibility of the user for one or more loans can be determined as a function of the credit score. In this regard, banks and retailers can automate credit scoring and loan eligibility determination using information about the applicant that is readily available.

Abstract: Systems and methods for automatically identifying end credits in a media item are disclosed. An analysis component analyzes a media item and identifies a transition point in the media item where end credits begin and a presentation component presents a prompt, such as a survey, based on the transition point. In another aspect, a monitoring component monitors at least one of content or audio of the media item. According to this aspect, the analysis component analyzes the at least one of the content or the audio, identifies a pattern of the media item associated with the end credits, and identifies the transition point as a function of the pattern. In various aspects, the pattern is associated with a streaming of text, a music soundtrack, an absence of speech, an absence object movement, or an absence of an appearance of objects included in the body of the media item.

Abstract: Disclosed are electronic systems and techniques for implementing consumer information aggregation and profile generation. An aggregator component can obtain data relating to a user from virtually any open, publicly available, or private sources of information. A profile of candidate characteristics associated with the user is generated, or updated, based on the information obtained, and the eligibility of the user for one or more offers, such as a loan, can be determined based at least in part on the profile of candidate characteristics. In this regard, banks and retailers can automate an offer decision-making process using information about the applicant that is readily available.

Abstract: Disclosed are electronic systems and techniques that generate validation measures related to information obtained from publicly available data sources for providing recommendations about a potential client. Trusted search criteria are used to obtain a set of query results. These results are used to gather metadata associated with a potential client for loan offers. The validation measures are initiated from the associations and used to modify the search criteria or identifying data for searching further. A credit worthiness score related to the potential client is configured based on the validation scores and relevancy of the data. The client information is updated dynamically with continued modification of the initial search criteria in order to alter a scope and improve an accuracy of information.

Abstract: Disclosed are electronic systems and techniques for filtering data comprising content requested from a variety of sources, and tracking which of the sources supplied the data and a category that classifies the content. The filtering may comprise implementing a variety of filtering techniques to acquire the content. In this regard, the content can be stored and grouped with other content related to the content in data storage, while discarding a subset of the data not containing the content.