Yahoo Ad Tech LLC

Yahoo! Inc.

Verizon Media Inc.

Oath Inc.

Wendell Craig Baker

Csaba Kecskemeti

Jinhui Liu

Jonathan Malkin

Qi Su

Jerry Zhang

Kristof Nagel

Gergely Timar

Johannes Van Staden

Narayana Babu Maddhuri

Kaylan Kanuri

Alvaro Mendez

Disclosed are apparatuses, systems, and methods for providing a programmatic control channel for granting or denying access to user data. In one embodiment, a method is disclosed comprising receiving an input stream of data including user data and a first regulatory control channel (RCC) data structure; building a final RCC data structure based on the first RCC data structure and a stored RCC data structure; retrieving a regulatory query context (RQC) from a data requestor; applying one or more Boolean operators to the final RCC data structure and the RQC to obtain an evaluation result; and executing the downstream processing if the evaluation result comprises a passing evaluation result.

Programmatic control channel for automated data distribution

A system for generating a cluster profile is provided. The system may include a server and a database. The server may be configured to receive event information from a plurality of consumer devices. The database may store a plurality of member profiles. The server may be configured to retrieve the member profiles from the database and may determine a subset of member profiles to associate with a cluster; the server may calculate an intersection of the facts from the subset of member profiles and may generate a cluster profile based on the intersection of the facts from the subset of member profiles.

Building profiles for clusters with smart union of individual profiles

One or more computing devices, systems, and/or methods are provided. A first plurality of sets of device information associated with a plurality of devices may be received and/or identified. The plurality of devices may be grouped into a plurality of groups based upon the first plurality of sets of device information. A plurality of group profiles associated with the plurality of groups may be generated. A first group profile of the plurality of group profiles may be associated with a first group of the plurality of groups. The first group profile may be generated based upon sets of device information, of the first plurality of sets of device information, associated with the first group. A request for content associated with a first device belonging to the first group may be received. A first content item may be selected for presentation via the first device based upon the first group profile.

Group profile generation and content item selection based upon group profiles

An electronic system may be configured to determine if a first-type device ID and a second-type device ID both identify a same device. To do so, the electronic system may preliminarily group a particular first-type ID with a particular second-type ID based on matching time slots and network addresses. Individual scores for each of the preliminary groups may be determined based on cardinalities associated with the time slots. Combined scores may then be determined for groups having the same first-type device ID and second-type device ID. A final analysis may be performed to confirm, with a sufficient level of confidence, whether first-type device IDs and second-type device IDs included in the preliminary groups identify the same device.

Device identification for multiple device IDs

Device identification for multiple device IDS

A computer implemented method for analyzing a listing object to define a match to a candidate object among many possible candidate objects is disclosed. The method includes an operation to receive a listing object as an input. The method also includes an operation to generate a set of candidate objects based on characteristics of the listing object. The candidate objecting used to generate a listing-candidate pair defined by pairing the listing object with one of the candidate objects. The method may also include operations to process the listing-candidate pair such as an operation to normalize the listing object into a canonical form. Another operation can generate a matching feature vector for the listing-candidate pair. Where the matching feature vector includes a matching score based on a common feature between the candidate object and the canonical form of the listing object. In another operation, the method analyzes the matching feature vector with a judging committee module to render a match judgment. The match judgment based on evaluating the results of the judging committee module to determine whether the listing object and the candidate object are a match. The method also includes an operation that saves the match judgment to a computer readable media.

Cross-domain matching system

A method to access trusted user generated content (UGC) is provided. User registration information containing one or more identities is obtained. Each identity corresponds to an internet social network that is facilitated by one of a plurality of social network sites. The social relationships are collected using the provided user identities at the different social network sites and user extended social networks are created for each user by joining the social relationships collected. Then, UGC is collected from the plurality of social network sites and the collected UGC is correlated with the extended social networks. The correlated UGC is filtered according to the user configuration of a user making a request, and then the results are presented to the requesting user. A search function is provided to obtain information on demand, or alternatively, a user receives feeds of information according to configured information regarding the user's extended social network.

Growing community of inventors

Palo Alto, CA, United States of America

Wendell Craig Baker