A system and methods are disclosed for creating and using a revenue value index to score impressions and users for purposes of determining fair pricing for advertisement (ad) placement or to provide analytics and information to publishers for future use. The revenue value index may be configured to evaluate data obtained or acquired from first-party, publisher platforms and/or third-party platforms or other data sources for the purpose of valuing either ad impressions or the users engaging the websites on which ads are likely to be placed. The revenue value index may be utilized for either providing value information to entities (for example, publishers) or for measuring the value of ad impressions or users for use in determining fair pricing in real-time auctions conducted for ad placement.

Apparatuses and methods are provided for storing information related to objects associated with a hand of a user via a wearable camera system. In one implementation, a wearable apparatus for storing the information is provided comprising a wearable image sensor configured to capture a plurality of images from the environment of the user, and at least one processing device programmed to process the images. The processing device may detect the hand of the user, and an object associated with the user's hand. The processing device may proceed to store information related to the object. Consistent with disclosed embodiments, the stored information may be used for various purposes, such as warning the user of dangers, catering advertising to the user, and helping the user find objects when they are lost.

A wearable apparatus and method are provided for capturing image data. In one implementation, a wearable apparatus for capturing image data is provided. The wearable apparatus includes a plurality of image sensors for capturing image data of an environment of a user. Each of the image sensors is associated with a different field of view. The wearable apparatus also includes a processing device programmed to process image data captured by at least two of the image sensors to identify an object in the environment. The processing device is also programmed to identify a first image sensor, which has a first optical axis closer to the object than a second optical axis of a second image sensor. After identifying the first image sensor, the processing device is also programmed to process image data from the first image sensor using a first processing scheme, and process image data from the second image sensor using a second processing scheme.

A computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion are disclosed. Various embodiments are operable to receive a plurality of keywords to be trafficked on a search engine, and automatically select at least one of the plurality of keywords to be omitted from trafficking on the search engine based on pruning criteria. In some example embodiments, the automatically selecting comprises for each one of the selected at least one of the plurality of keywords, determining a corresponding confidence level with which a corresponding predicted value of the keyword(s) is expected to satisfy the pruning criteria, with the automatic selection of each one of the selected at least one of the plurality of keywords being based on the corresponding confidence level and a configurable confidence level threshold.

Online entities oftentimes desire to ascertain information about their audience members. To determine information about audience members and their activities, online transactions including information about transactions performed by audience members are collected. One or more audience analysis processes are applied to the online transactions to determine the collection of online transactions performed by a given audience member. With an accurate assignment of online transaction to the audience member, the audience member and associated transactions may be classified as a legitimate or illegitimate.

An e-commerce system is provided that tracks purchase transaction across multiple client devices. The e-commerce system stores hop information describing when a customer is exposed to a product of a vendor through an affiliate who advertises the vendor's products. The e-commerce system determines from the stored hop information which affiliate or affiliates to compensate for the sale of a product. This allows the e-commerce system to determine, after the sale, whether additional affiliates need to be compensated for the sale of the product based on the hop information.

Methods, systems, and media for managing online advertising campaigns based on causal conversion metrics are provided.

Multi-computing device network based cross-device conversion determination is described. A content selection computer server can identify cross-device conversions. A first computing device accesses third-party content via a first computer network connection. A second computing device accesses a webpage of the third-party content provider via a second computer network connection. The first and devices can be logged into a same online account. The content selection computer server can obtain, via a content tag that includes a script that executes on a webpage that includes the third-party content, data indicating that the first computing device accessed the third-party content. The selection computer server determines the conversion from the content tag and the second computing device having accessed the webpage. Based on a percentage of first and second sets of computing devices that have logged into common respective online accounts, the content selection computer server extrapolates an estimated number of cross-device conversions.

A system and method for enhanced location verification and content delivery confirmation including building a customized pixel for location verification, appending the customized pixel to an ad tag, collecting a combination of data from the pixel, holding the combination of data collected and grouping the held data, and processing the combination of data collected from a previous day by performing a first enrichment process including enriching the combination of data with additional data corresponding to at least one of connection type and latitude and longitude data, wherein latitude and longitude data is based on IP in a case where latitude and longitude information was not provided. The method further includes performing a second enrichment process including enriching the combination of data with location data fields, calculating and assigning a location quality score to the enriched data based on an accuracy or in-geo, a precision or credibility, and a confidence of location data, and aggregating the enriched data and storing the enriched data in a database.

By way of example, various methods for reproducing advertisements using a plurality of advertisement vehicles as well as controlling the plurality of advertisement vehicles are provided. In one example, a method for controlling a plurality of advertisement vehicles is provided as follows. Initially, information on the plurality of advertisement vehicles that are going to carry out a specific event is verified. Information on the specific event is sent to the plurality of advertisement vehicles and real-time traffic and/or people density information in an area in which the specific event is to be carried out is collected. A starting location of the specific event may also be determined based on at least one of: the real-time traffic density information or real-time location information of the plurality of advertisement vehicles. Then, driving route guidance with an initial destination set to the starting location of the specific event is sent to the plurality of advertisement vehicles such that the plurality of advertisement vehicles convenes at the starting location of the specific event.