Google Inc.

Lucent Technologies Inc.

Alcatel Lucent

At&t Bell Laboratories

Alcatel-lucent USA Inc.

At&t Ipm Corp.

Diane Lambert

Daniel John Zigmond

Don X Sun

Linda A Clark

Jose′ C Pinheiro

Diane L Tang

Ashish Agarwal

Gerald Donald Baulier

Michael M Meyer

Daryl Pregibon

Ilia Mirkin

Per R Anderson

James Angus Morrison

Eric Bauer Arbanovella

Virginia Kay Ferrara

Susan Shannon

Michael H Cahill

Philip Alfred Whiting

Ori Gershony

Aiyou Chen

Kenneth Charles Cox

Richard A Gottscho

Peter Kellis Kamvysselis

Richard A Becker

Tim Hesterberg

Rong Ge

Scott Alan Vander Wiel

Joseph B Kruskal

David Xi-Kuan Chan

Cristina Laura Harko

Chuanhai Liu

David A James

Matthew A Shulman

John M Chambers

Ekaterina Rogers

Jos&eacute; C Pinheiro

A dashboard to integrate gadgets and present data output from the gadgets in an integrated user interface. The gadgets dynamically collect information about an advertisement or an ad campaign associated with the advertisement as the information is collected from various sources during the ad campaign, each of some of the gadgets processing collected information and outputting the processed information in real time.

Advertisement effectiveness measurements

User queries are received, with each query requesting a service from a server. Overlapping experiments are performed on at least a portion of the queries, with each experiment modifying one or more parameters associated with the queries or parameters associated with processing of the queries, and with the experiments organized into layers. Two or more experiments in different layers are allowed to be performed on the same query, and for any given layer, at most one experiment is allowed to be performed on the same query.

Overlapping experiments

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for estimating demographic compositions of television audiences. In an aspect, audience demographics are estimated from viewing device log records and household demographic data describing demographic segments to which members of the households belong.

Estimating demographic compositions of television audiences

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for inferring a demographic composition of a television audience of a television program. In one aspect, a method extrapolates television audience demographics from rated programs to unrated programs by attributing demographics of rated programs to unrated programs when the rated and unrated program are related by demographically rated channel tunes.

Inferring demographic compositions of television audiences

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for estimating demographic compositions of television audiences from audience similarities. In an aspect, pairwise cosine similarities of segment of viewers of rated and unrated television programs are determined, demographic information of rated programs is attributed to the unrated programs from the cosine similarity measures and demographic information for the rated programs.

Estimating demographic compositions of television audiences from audience similarities

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating statistical significance using placebo actions. One method includes receiving exposure data and control data describing exposed and control subjects and determining a test statistic for each of a plurality of subject actions including a desired action and a plurality of placebo actions. The test statistic for an action corresponds to an estimated effect that exposure to the treatment has on a likelihood that a subject will take the action. The method further includes comparing the test statistic for the desired action to the test statistics for the plurality of placebo actions, and determining whether the test statistic for the desired action is statistically significant according to the comparison. Another method includes automatically identifying placebo actions using a taxonomy that classifies subject actions or treatments, and determining test statistics for the placebo actions.

Evaluating statistical significance of test statistics using placebo actions

A system for, and method of, position estimation of, or tracking, an object. In one embodiment, the system includes: (1) a map generator configured to create, without requiring a propagation model, a mean map for the region and (2) a measurement matching engine associated with the map generator and configured to match received measurements regarding the object to a number of nearest neighboring grid points in the mean map.

System and method for model-free position estimation and tracking

Disclosed is a method for maintaining compact descriptions of the behavior of customers in a database of information relating to customer transactions. Of all possible variables that might be used to characterize customer transactions, a limited number are selected on the basis of discriminating power to define customer profiles. Customers are classified according to distinguishing features of their profiles. A new customer can be initially assigned to a particular class based on data characterizing his first few transactions.

Method for constructing an updateable database of subject behavior patterns

In an event monitor associated with an information processing system, data values corresponding to monitored events are processed using a set of parameters characterizing a reference distribution of the data values. From a given one of the data values a corresponding probability value is computed utilizing the set of parameters. A thresholding operation is then performed on the probability value, and alarm information is generated based on the result of the thresholding operation. The set of parameters are periodically updated to take into account one or more of the data values.

Method and apparatus for event monitoring in an information processing system

A method is provided for maintaining compact descriptions of the behavior of customers in a database of information relating to customer transactions. Of all possible variables that might be used to characterize customer transactions, a limited number are selected on the basis of discriminating power to define customer profiles. Customers are classified according to distinguishing features of their profiles. A new customer can be initially assigned to a particular class based on data characterizing his first few transactions.

In a method for acquiring statistical information from data, an initial cumulative distribution function (CDF) that characterizes an initial set of data is acquired. The acquisition of this CDF comprises acquiring a set of quantile endpoints that define the CDF. At least one additional CDF, which characterizes a further set of data, is also acquired. Information that describes the initial CDF is combined with information that describes one or more additional CDFs, and the result is used to obtain a composite CDF that describes a combined set of data that includes the initial data set and the one or more further data sets. Then, a new set of quantile endpoints is determined, that defines the composite CDF. The sequence of steps described above is repeated at least once more. The previously obtained composite CDF is used as the initial CDF for each repetition of this sequence.

Method for generating quantiles from data streams

Growing community of inventors

Berkeley Heights, NJ, United States of America

Diane Lambert