Amobee, Inc.

Yahoo! Inc.

Ebay, Incorporated

Turn Inc.

Santanu Kolay

Ali Dasdan

Ali Jalali

Lawrence Lo

Peter Foldes

Chris Drome

Rajyashree Mukherjee

Tolga Konik

Sumit Rangwala

Christos Koufogiannakis

Khaled Elmeleegy

Bin Song

ShaoSu Liu

Jay Katukuri

Shiyong Cheng

Techniques and mechanisms described herein facilitate adaptive fuzzy fallback stratified sampling. According to various embodiments, an actual or estimated minimum vertex cover of a feature dependency graph representing a dataset may be determined. The dataset may include a plurality of feature vectors and a plurality of features. Each feature vector may include a plurality of feature values that correspond with the features. The feature dependency graph may represent a plurality of conditional dependencies between the features. The minimum vertex cover may designate a subset of the features for strata selection. The feature vectors may be partitioned into a plurality of strata based on the designated subset of features. Each stratum may include one or more of the feature vectors. Each feature vector may be assigned to a corresponding stratum based on the values of the designated subset of features for the feature vector.

Adaptive fuzzy fallback stratified sampling for fast reporting and forecasting

Systems, methods, and apparatus are disclosed for identifying and analyzing online advertising performance data. Systems may receive data records that include data events characterizing interactions between users and online advertisement campaigns. The online advertising data records may include timestamp data characterizing creation dates for data events. The systems may generate intermediate data objects by partitioning at least some of the online advertising data records based on a first plurality of temporal data categories representing different units of time. Each intermediate data object may be associated with a temporal data category of the first plurality of temporal data categories. The systems may generate performance data objects by partitioning the intermediate data objects based on a second plurality of temporal data categories that are different than the first temporal data categories. Each performance data object may be associated with a temporal data category of the second plurality of temporal data categories.

Systems, methods, and devices for pipelined processing of online advertising performance data

A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing recommendations are presented. Consistent with some embodiments, the method may include accessing a selection of queries executed on a database of items. The selection of queries may be used to retrieve a plurality of items from the database. The plurality of items may be grouped into one of multiple clusters based on similarities between items. The method may further include receiving a recommendation request related to an item corresponding to a first cluster of the multiple clusters. A recommendation may be generated using a related item selected from the first cluster.

Large-scale recommendations for a dynamic inventory

Systems, methods, and devices are disclosed herein for spend control in online advertising. Systems include a first plurality of advertisement servers included in a first data center, and a second plurality of advertisement servers included in a second data center. Systems include a performance data aggregator configured to receive performance data characterizing bids placed by the first plurality of advertisement servers and the second plurality of advertisement servers. Systems include a spend control analyzer configured to generate spend control data objects based on an estimate of bidding activity associated with the first data center and bidding activity associated with the second data center. Spend control data objects are capable of configuring advertisement servers to perform advertisement operations within determined budgetary constraints. The spend control analyzer is configured to provide the plurality of spend control data objects to the first plurality of advertisement servers and the second plurality of advertisement servers.

Systems, methods, and devices for spend control in online advertising

Methods and apparatus for finding detecting unique on-line users for advertisement or content targeting are disclosed. A bid request with initial fingerprint context data for a user and for content that is requested by such user is received at a bid management system, and the bid request is received with or without a user identifier. At the bid management system, an optimum bid for the bid request is determined based on the initial fingerprint context data for the user and the content. The optimum bid with a reference to an advertisement and a script for obtaining additional fingerprint context data from a device of the user is sent from the bid management system. The additional fingerprint context data is received and a unique user identifier is assigned in association with a combination of the initial and additional fingerprint context data.

Methods and apparatus for identifying unique users for on-line advertising

The present invention provides a method and system for optimizing search result rankings through use of a game interface. The method and system includes providing a game interface to at least two users, the game interface comprising at least one search query and at least two search result sets. The method and system further includes detecting the selection of one of the two search result sets by the users based on competition criteria and updating ranking data in response to the selection of one of the two search results. The method and system further includes selecting ranking data associated with a given query, determining an optimum ranking based on aggregating the selected ranking data, and storing the optimum ranking.

System and method for optimizing search results ranking through collaborative gaming

Growing community of inventors

San Jose, CA, United States of America

Santanu Kolay