Abstract: Systems and methods are disclosed for managing the display of online ad content consistent with one or more e-commerce objectives. A collection module may be operable to collect attribute values for a set of attributes characterizing user visits to a set of training webpages and subsequent attribute values for a subsequent user visit to a subsequent webpage. A model-generation module may be operable to train a probability model with the attribute values that predicts outcomes for at least one performance metric. A display module may be operable to determine whether to display ad content on the subsequent webpage for the subsequent user visit depending on whether a predicted outcome from the probability model that is relevant to the subsequent attribute values is consistent with one or more e-commerce objectives. The probability model may be a decision tree with different predicted outcomes for different combinations of attribute values.

Abstract: A method of advertising to a targeted consumer, via an application based consumer profiling algorithm which determines the interests of a consumer in a particular geographical position then queues relevant pre-loaded advertisements on an out-of-home (OOH) medium.

Abstract: Systems and methods are disclosed for dynamically providing content to a user. The disclosed embodiments include generating a recommendation matrix based on event data received from a client. In certain embodiments, the client may be configured to generate event data associated with the client or a user associated with the client. The disclosed embodiments may also include generating an offer score matrix based on the recommendation matrix and the event data. In certain aspects, the offer score matrix may include score values associated with a set of offers to be provided to the user. The disclosed embodiments may identify a first offer from the set of offers based on the score values for the offers and provide an identification of the first offer. The disclosed embodiments may also receive content associated with the first offer for display on the client.

Abstract: Customer data is securely downloaded to a browser toolbar by performing a check to determine whether a request for customer data includes a request for personal identifiable information requiring encryption by a public encryption key generated by the browser toolbar. The customer is authenticated based on a set of a user credential and an account specific access credential. The account specific access credential is associated with the account of the customer. Requested personal identifiable information is encrypted using the public encryption key generated by the browser toolbar. Encrypted personal identifiable information is transmitted to the browser toolbar.

Abstract: A system and method may comprise providing, via a computing device, a connection link to an end user device having a network connectivity access network element; extracting, via an advertisement server, an offer of a value voucher unique to the end user from a database connected to the advertisement server and presenting, through the end user device, an offer of the value voucher to the end user; receiving, via the computing device, from the end user an acceptance of the value voucher; and storing the value voucher in a coupon database in an Internet accessible coupon storage locker unique to the end user.

Abstract: A computer-implemented method for generating a proposed bid includes receiving an input generated by a first content provider as part of a bidding process where content providers bid for opportunities to provide content for publication. The input indicates (i) a resource for publishing first content from the first content provider and (ii) a campaign characteristic associated with the first content. The method includes determining a proposed bid for the first content provider based on the input and on historical data from the bidding process associated with the resource. The method includes presenting the proposed bid to the first content provider.

Abstract: A method for operating a bonus system includes providing a driver account associated with a driver by a database, acquiring data relating to the driver by an application installed on a mobile terminal, acquiring data on the vehicle side of at least one motor vehicle of the driver by at least one acquisition device on the motor vehicle side, transmitting the acquired data to the database, creating an electronic life career associated with the driver account based on the data transmitted to the database, and assigning respectively preset bonus points to the driver account as soon as it has been acquired based on the electronic life career that respective preset events have been achieved. Preset benefits can be redeemed depending on the bonus points assigned to the driver account.

Abstract: Systems, methods, and computer-readable storage media for determining user engagement levels during a presentation of content. The system first collects data associated with a user session at a client device. Next, the system predicts a user engagement level during the user session by applying an engagement predicting rule to the data. The system can predicts respective user engagement levels for various segments of the presentation by applying one or more engagement predicting rules to the data. The system then presents invitational content based on the user engagement level.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition are disclosed. In one aspect, a method includes receiving a candidate adword from an advertiser. The method further includes generating a score for the candidate adword based on a likelihood of a speech recognizer generating, based on an utterance of the candidate adword, a transcription that includes a word that is associated with an expected pronunciation of the candidate adword. The method further includes classifying, based at least on the score, the candidate adword as an appropriate adword for use in a bidding process for advertisements that are selected based on a transcription of a speech query or as not an appropriate adword for use in the bidding process for advertisements that are selected based on the transcription of the speech query.

Abstract: Systems and methods for providing conversion metrics for ads related to the housing industry or the employment industry are provided. A system can identify a plurality of ads provided for display to a plurality of identifiers. Each of the plurality of ads is related to one of a housing industry or an employment industry. The system can identify, for an advertiser providing a subset of the identified plurality of ads, one or more identifiers to which the subset of the identified plurality of ads are provided for display. The system can determine, from a location database that includes location information of the plurality of identifiers, a number of identifiers of the identifiers to which the subset of the identified plurality of ads are provided for display that changed locations. The system can then provide, to the advertiser, a conversion metric based on the number of identifiers that changed locations responsive to determining that the number of identifiers is greater than a predetermined threshold.

Abstract: An influence system for predicting advertisement impact for audience selection. An advertising probe campaign is operated by sending an advertisement to each entity in a treatment group of entities. A control group of entities which excludes the treatment group entities is selected and no campaign advertising content is sent to the treatment group entities. An influence model is created by comparing features of the treatment group converters to features of the control group converters. An individual frequency cap is selected for each entity that is a candidate for the advertising campaign based on a result of applying the influence model to the features of the candidate entity. The entity may be selected to receive an advertisement based on the individual frequency cap. Some embodiments are integrated with a real time bidding (RTB) exchange and a bid response may be configured based on the results of applying the influence model.

Abstract: To grant or deny access rights to a user attempting to access a protected system or secured electronic data, an access right evaluation process is carried out among all applicable policies including those embedded in the secured electronic data. In a preferred embodiment, the access right evaluation process is invoked only when a system being accessed is protected or a file being accessed is detected to be in a secured format. Further, the access right evaluation process is configured preferably to operate transparently to the user. The access right evaluation may be advantageously used in systems or applications in which devices, mediums or electronic data are secured and can be restrictively accessed by those who are authenticated and have proper access privilege.

Abstract: A system and method for sharing revenue associated with a video is disclosed. The method includes generating a popularity score for a first video based at least in part on first popularity data. The popularity score is indicative of present and future popularity of the first video. The method also includes retrieving historical data includes historical popularity and profitability of multiple videos submitted by an owner of the first video, in response to determining that the popularity score for the first video is greater than a predetermined value. The method also includes determining that the first video is eligible to participate in a revenue sharing program based at least in part on the retrieved historical data. The method includes generating a message for a client device associated with the owner of the first video to invite the owner of the first video to participate in the revenue sharing program.

Abstract: Systems and methods are disclosed for associating a plurality of Internet-enabled devices with a common user profile for targeting Internet content or advertising. One method includes: receiving, from a plurality of Internet-enabled devices, a plurality of requests for electronic content or advertising; extracting, from each of the plurality of requests, a source IP address and a unique identifier associated with the respective Internet-enabled device; identifying each possible pair of devices from which requests were received; calculating for each possible pair of devices a probability that the pair of devices are owned or operated by a common user; and prompting a user to either confirm a characteristic of a prior browsing session or to log-in to an account associated with the common user based on a comparison of the calculated probability to one or more thresholds.

Abstract: An influence system for predicting advertisement impact for campaign selection. For each campaign, an advertising probe campaign is operated by sending an advertisement to each entity in a treatment group of entities. A control group of entities which excludes the treatment group entities is selected and no campaign advertising content is sent to the treatment group entities. An influence model is created for each campaign by comparing features of the respective advertising probe campaign's treatment group converters to features of the control group converters. A campaign is selected for an opportunity to expose a specified entity to advertising based on the result of applying each respective campaign's influence model to features of the specified entity. Advantageously, a campaign operator can make good use of a rare, high quality advertising opportunity by allotting it to an advertising campaign based on a likelihood of influencing the specified entity.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content items are disclosed. In one aspect, a method includes accessing a scaling factor value and accessing a first page value range specifying at least a high page value and a low page value. A determination is made that a first ranking of content items based on the high page value does not match a second ranking of the content items that is based on the low page value. In response to determining that the first ranking does not match the second ranking, an updated first ranking and an updated second ranking are determined based on a second page value range. A determination is made that the updated first ranking matches the updated second ranking. Content items are distributed based on the updated first ranking.

Abstract: A method, system, GUI, apparatus, and computer readable media for enabling a customer to access both an artist media file as well as the associated artist are provided. An artist profile may be hosted on, for example, a web site, SMS/MMS gateway, and a WAP site. A media file may be received from the artist along with artist contact links and may be uploaded to the artist's profile. A request to access the media file and/or the artist may be received from a customer. The customer may then be enabled to access the media file and/or artist. The artist's account may be updated to indicate the transaction.

Abstract: Methods and systems for managing or regulating offer listings in an electronic marketplace. Consumer feedback regarding the offer listings may be received and analyzed to generate recommended or candidate rules. The recommended rules may be presented to rule authors for validation. Acceptance and/or rejection of the recommended rules can be used to train or otherwise improve the generation of future recommended rules. The accepted recommended rules can be used to generate final rules. The final rules may be applied to offer listings to trigger a variety of actions including filtering of offer listings, sending notifications to sellers, and updating offer listings user interface.

Abstract: System and method for facilitating an interactive engagement of a user with an online application is disclosed. The method comprises presenting one or more first questions, to the user, associated with the online application. For the one or more first questions, a first response is received from the user. The first response indicates behavioral characteristics of the user. The method comprises assigning a first engagement metric based on the first response. Further, one or more second questions are presented, to the user, associated with the online application. The one or more second questions are dynamically restructured based on the first engagement metric. The method comprises receiving a second response corresponding to the one or more second questions. The method further comprises modifying the first engagement metric into a second engagement metric based on the second response. The method further comprises calculating a score based on the second engagement metric.

Abstract: Disclosed is an approach for implementing an improved system, method, and computer program product for a marketing automation product, where an external content service is integrated with the marketing automation tool.