Yahoo! Inc.

Excalibur Ip, LLC

Oath Inc.

Yahoo Assets LLC

Yahoo Ad Tech LLC

Matthew Robert Ahrens

Kevin Andrew Perkins

Greg Muchnik

Aaron John Klish

Mithilesh Nanjamanaidu Srinivasan Rangavadivel

Ashwini Kumar Kounduri

Mithilesh Nanjamanaidu Sriniva

Aaron J Klish

Jifu Zhao

Daniel Chen

One or more computing devices, systems, and/or methods are provided. In an example, a dataset associated with a plurality of dimensions and a plurality of metrics is identified. A subset of dimensions of the plurality of dimensions and a subset of metrics of the plurality of metrics are selected based upon historical dataset queries. A plurality of sets of results is generated, using the dataset, based upon the subset of dimensions and the subset of metrics. A plurality of significance scores is determined based upon the plurality of sets of results. One or more first sets of results of the plurality of sets of results are selected based upon the plurality of significance scores.

System and method for generating relevant sets of results using datasets

One or more computing devices, systems, and/or methods for time series trend root cause identification are provided. In particular, an overall trend of multi-dimensional time series data and element trends for measured elements of dimensions within the multi-dimensional time series data is identified. Weighted correlations between the element trends of the measured elements and the overall trend are calculated. The weighted correlations of the measured elements and aggregate weighted correlations of measured element combinations are evaluated to identify a set of measured elements having a threshold correlation to the trend.

Time series trend root cause identification

One or more computing devices, systems, and/or methods are provided. Activity of one or more client devices may be analyzed to detect one or more sets of network traffic. A set of network traffic may comprise transmission of data by a client device to one or more first hosts and/or reception of data by the client device from one or more second hosts. The one or more sets of network traffic may be analyzed to generate a set of network traffic information associated with a first application. The set of network traffic information may be indicative of a first set of hosts associated with the first application. It may be determined that first network traffic associated with a client device is associated with the first application based upon the first network traffic and the set of network traffic information associated with the first application.

Application identification using network traffic

Techniques are provided which allow targeting social events. Methods and systems allow a user to register a social event which involves a group of users watching a program on a television on a social networking platform. Information related to the event may be obtained and the group of users may be classified as belonging to one or more targeting segments based at least in part on the information related to the event. One or more advertisements may be selected based at least in part on the one or more targeting segments. The one or more advertisements may be transmitted such that the one or more advertisements are displayed on the television.

Methods and systems for targeting user initiated social events

Techniques are provided which engage users and increase social interaction in group buying. Methods and systems may target users with a first advertisement comprising one or more proposed deals based at least in part on the users' electronic calendar entry information. The advertisements may be served and displayed in the users' electronic calendars. Users' responses to the proposed deal may be tracked. Users may be targeted and served with additional advertisements based at least in part the users' responses to the proposed deal included in the first advertisement and the calendar entry information. Users may forward the advertisements to other individuals to encourage them to participate in the proposed deals in order to receive additional discounts.

Methods and systems for group targeting for advertisable calendar entries

The present invention provides techniques for use in electronic and online advertising. Techniques are provided in which an advertiser provides information specifying a time-spaced sequence of advertisements to be targeted and served to a particular user, across a number of different devices and screens. Each advertisement in the sequence may be served to the user while the user is using a particular electronic device. The sequence of advertisements as a whole may be optimized with regard to eliciting a particular response from the user, and each advertisement may be optimized regarding its order in the sequence and the type of device or screen on which it is to be served.

Cross-screen advertising campaign sequencing

Embodiments are directed towards providing a web-based framework for access and use of mobile device applications within an application stack. The mobile device includes a mobile web framework application (MWFA) that, when the mobile device boots up, seeks to connect online to a remote web-based interface manager. The remote interface manager provides a display of an application user interface to the mobile device, from which a user may access various applications that may be configured to execute at a remote device rather than on the mobile device. The user may also add to or otherwise modify the applications within the application stack.

Web-hosted framework for mobile applications

Method and apparatus for rule-based, proactive web browsing are provided. A set of rules is determined and stored in computer data storage, where each rule in the set of rules is a proactive browsing rule that indicates a web page. The occurrence of an event represented by event information is detected. In response to detecting the occurrence of the event, the set of rules is evaluated based on the event information to determine whether any rules are satisfied. While a web browser is in use, a determination is made that a particular rule is satisfied. In response to determining that the particular rule is satisfied, the web browser is automatically redirected to directly access a particular web page that is indicated in the particular rule.

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Champaign, IL, United States of America

Matthew Robert Ahrens