Abstract: A fuel tank system includes a fuel tank and a fuel pump assembly arranged in the fuel tank and including a fuel pump and a vacuum source. A fuel tank venting system includes a first vent valve arranged in the fuel tank. A storage vessel is arranged in the fuel tank and in fluid communication with the first vent valve. A first fluid line arranged in the fuel tank connecting the storage vessel to the vacuum source of the fuel pump assembly. A second fluid line connects the storage vessel to an evaporative emission system.

Abstract: Operations to blend electronic inventory are provided. The operations may include obtain a request for multiple seats at a venue and determine a combination of data objects from a data storage that represent seats at the venue that meet the request. The combination of the data objects may include at least one of multiple first data objects and at least one of multiple second data objects. The first data objects may be tagged with a first tag and are associated with first seats in the venue controlled by a first entity and the second data objects may be tagged with a second tag and are associated with second seats in the venue controlled by a second entity, and the combination of the data objects is determined irrespective of whether the data objects include the first tag or the second tag.

Abstract: Various embodiments are generally directed to an automated A/B testing system using a combination of classical and alternative statistical analysis to control the performance A/B tests. An apparatus includes a processor circuit; and logic to commence collection of a specified number of samples of user responses to multiple versions of a user interface in a test, employ an alternative statistical analysis to analyze the samples as they are collected, determine whether a proposed version elicits a statistically significant improvement in user response over a control version, terminate the test before the specified number of samples are collected in response to a statistically significant improvement over the control version elicited by the proposed version, and complete collection of the specified number of samples and employ a classical statistical analysis to analyze the samples in response to the proposed version not eliciting the statistically significant improvement.

Abstract: Methods, systems, and computer-readable media for recommending assets for a user include receiving the user's recently viewed assets list for a web domain that includes a plurality of assets; calculating a score for each asset in the web domain having an overlap of user interest based on mutual information; generating a set of neighbors for each item in the recently viewed assets list using the score; calculating a strength for each set of neighbors using the sum of the score for each neighbor in the set; generating an asset recommendation using the neighbor set with the highest score; and transmitting the asset recommendation.

Abstract: A method of generating a user-interface to be displayed at a remote location. The method may include receiving a selection of an item listing for an event from a user at a remote location and determining an upgrade offering for the item listing based on previously accepted upgrade offers. The method may additionally include generating instructions to be transmitted to the remote location to generate a user interface to be displayed at the remote location. The user interface may include the item listing and an interactive element for selecting the upgrade offering. The method may also include transmitting the instructions to the remote location.

Abstract: Operations to blend electronic inventory are provided. The operations may include obtain a request for multiple seats at a venue and determine a combination of data objects from a data storage that represent seats at the venue that meet the request. The combination of the data objects may include at least one of multiple first data objects and at least one of multiple second data objects. The first data objects may be tagged with a first tag and are associated with first seats in the venue controlled by a first entity and the second data objects may be tagged with a second tag and are associated with second seats in the venue controlled by a second entity, and the combination of the data objects is determined irrespective of whether the data objects include the first tag or the second tag.

Abstract: A method of ticket assessment includes accessing historical transaction information and prices for available tickets for an upcoming event. The method includes calculating a historical ticket value for seats at a venue and a current ticket value and a deal score for the available tickets. The method includes receiving a preference that pertains to a ticket for the upcoming event. The method includes determining whether the available tickets include characteristics within the preference. If a first subset of the available tickets includes characteristics within the preference, the method includes communicating to the user device recommendation data including ticket listings for tickets in the first subset. The recommendation data is configurable in a window of a graphical user interface. If a second subset of the available tickets does not include characteristics within the preference, the method includes filtering the second subset of the available tickets from the recommendation data.

Abstract: Assigning tags to content on a page stored within a digital document environment is described. An activity log is received for a document including data indicating search queries resulting in the location of the document by a search engine. One or more keywords are determined from the activity log, and the document is tagged with a tag associated with the keywords.

Abstract: Various embodiments are generally directed to a visual configuration environment for configuring A/B tests of variations of aspects of content presentation in a user interface of a portal of a server to support remotely accessing services that it provides. A method includes identifying multiple visual areas of a visible portion of a user interface in a first data script; visually presenting on a display the multiple visual areas in at least one menu in a first table to enable selection of first and second visual areas of the multiple visual areas for inclusion in an A/B test of multiple versions of the user interface; and visually presenting a list of all possible combinations of variations in content presentation selected in response to the visual presentation of the first table for the first and second visual areas in the form of a second table. Other embodiments are described and claimed herein.

Abstract: Systems and methods for clustering content according to similarity are provided that identify and group similar content using a set of tags associated with the content. A topic model of a group of content is built, producing a probability distribution of topic membership for the content. Individual items of content are then clustered using a clustering algorithm, and a distance matrix from the probability distribution is built. Based on the distance matrix, individual items of content are labeled as “must-link” or “cannot-link” pairs with the group of content. The topic model is then embedded into successively smaller dimensions using a kernel method, until the clustering is stable with respect to both the behavioral and content domains.

Abstract: Disclosed herein are systems, methods, and computer-readable storage media for consistently associating a user ID with a user. In one aspect, a method may comprise receiving a data request at a transceiver accessible by a server computing device, wherein, in response to receiving the data request, the server computing device is configured to: access, by one or more processors coupled to the transceiver, a first value embedded in a first cookie associated with a first expiration time; set a second cookie embedded with a second value; and reset the first cookie responsive to receiving an indication that the first cookie is expiring, wherein to reset the first cookie comprises replacing the first cookie with a third cookie set with a value equal to the first value and a third expiration time later than the first expiration time. Other embodiments are disclosed and claimed.

Abstract: Various embodiments are generally directed to an automated A/B testing system using a combination of classical and alternative statistical analysis to control the performance A/B tests. An apparatus includes a processor circuit; and logic to commence collection of a specified number of samples of user responses to multiple versions of a user interface in a test, employ an alternative statistical analysis to analyze the samples as they are collected, determine whether a proposed version elicits a statistically significant improvement in user response over a control version, terminate the test before the specified number of samples are collected in response to a statistically significant improvement over the control version elicited by the proposed version, and complete collection of the specified number of samples and employ a classical statistical analysis to analyze the samples in response to the proposed version not eliciting the statistically significant improvement.

Abstract: Various embodiments are generally directed to a visual configuration environment for configuring A/B tests of variations of aspects of content presentation in a user interface of a portal of a server to support remotely accessing services that it provides. A method includes identifying multiple visual areas of a visible portion of a user interface in a first data script; visually presenting on a display the multiple visual areas in at least one menu in a first table to enable selection of first and second visual areas of the multiple visual areas for inclusion in an A/B test of multiple versions of the user interface; and visually presenting a list of all possible combinations of variations in content presentation selected in response to the visual presentation of the first table for the first and second visual areas in the form of a second table. Other embodiments are described and claimed herein.

Abstract: Systems and methods for clustering content according to similarity are provided that identify and group similar content using a set of tags associated with the content. A topic model of a group of content is built, producing a probability distribution of topic membership for the content. Individual items of content are then clustered using a clustering algorithm, and a distance matrix from the probability distribution is built. Based on the distance matrix, individual items of content are labeled as “must-link” or “cannot-link” pairs with the group of content. The topic model is then embedded into successively smaller dimensions using a kernel method, until the clustering is stable with respect to both the behavioral and content domains.

Abstract: Disclosed herein are systems, methods, and computer-readable storage media for consistently associating a user ID with a user. In one aspect, a method may comprise receiving a data request at a transceiver accessible by a server computing device, wherein, in response to receiving the data request, the server computing device is configured to: access, by one or more processors coupled to the transceiver, a first value embedded in a first cookie associated with a first expiration time; set a second cookie embedded with a second value; and reset the first cookie responsive to receiving an indication that the first cookie is expiring, wherein to reset the first cookie comprises replacing the first cookie with a third cookie set with a value equal to the first value and a third expiration time later than the first expiration time. Other embodiments are disclosed and claimed.

Abstract: Systems and methods for clustering content according to similarity are provided that identify and group similar content using a set of tags associated with the content. A topic model of a group of content is built, producing a probability distribution of topic membership for the content. Individual items of content are then clustered using a clustering algorithm, and a distance matrix from the probability distribution is built. Based on the distance matrix, individual items of content are labeled as “must-link” or “cannot-link” pairs with the group of content. The topic model is then embedded into successively smaller dimensions using a kernel method, until the clustering is stable with respect to both the behavioral and content domains.

Abstract: A computer system for generating a message for a user has a memory configured to store a tree structure of product categories representing products presented on a web site, the tree structure having a plurality of nodes, each node representing a product category. The system is configured to select a message to be sent to the user, identify a product category for the message, determine weighting data for a plurality of the nodes based on distance of the nodes to the identified product category, select an offer from a database based at least in part on the weighting data, and generate the message using offer data associated with the selected offer.

Abstract: A computerized method is provided for receiving data for a plurality of offers, wherein the data includes a number of impressions and a number of clicks associated with each offer in the plurality of offers. The method comprises determining a click-through rate for each offer in the plurality of offers using the received data for the plurality of offers and partitioning offers into a first offer group and a second offer group based on a value of performance data associated with each offer. A predetermined number of offers with highest values are assigned to the first offer group, and the rest of the offers are assigned to the second offer group. The method comprises serving offers from both groups, calculating a response rate and confidence level for the first group, calculating a response rate and confidence level for the second group and determining that the performance data of the first and second groups has diverged by a predetermined threshold.

Abstract: At a computing device, an offer for an inventory item directing a user to at least one advertiser site is received. At least one attribute associated with the offer is determined. At least one tag is assigned to the offer based on the determined at least one attribute. At least one matching publisher site is selected based on at least one factor, wherein the at least one factor includes the at least one tag.

Abstract: Systems and methods for clustering content according to similarity are provided that identify and group similar content using a set of tags associated with the content. A topic model of a group of content is built, producing a probability distribution of topic membership for the content. Individual items of content are then clustered using a clustering algorithm, and a distance matrix from the probability distribution is built. Based on the distance matrix, individual items of content are labeled as “must-link” or “cannot-link” pairs with the group of content. The topic model is then embedded into successively smaller dimensions using a kernel method, until the clustering is stable with respect to both the behavioral and content domains.