Google Inc.

Yahoo! Inc.

Yuan Zhuge

Jieyan Fan

Sagnik Nandy

Timothy John Wright

Niranjan Heddese Sitaram Shastry

Minos N Garofalakis

Chao Cai

Jayavel Shanmugasundaram

Erik Nathan Vee

Jesse Savage

Itai Raz

Kanupriya Singhal

Jagadish Prasad Samantarai

Cedric Ho

Chyr-Chong (Joseph) Ting

Xuan Liu

Richard Maher

Rajagopal Baskaran

Sze Chit Ho

Yubao Yu

Xiuduan Fang

Nagaraju Pothineni

Sissie Hsiao

Systems and methods of evaluating performance of an information resource in a computer networked environment are provided. A data processing system can obtain a request for a performance metric of an information resource. A number of visits to the information resource by an audience segment, and an aggregate number of visits to the information resource can be determined and used to identify a first metric. A global audience segment number and a global aggregate audience number can also be determined and used to identify a second metric. A performance metric associated with the information resource can get determined based on the first metric and the second metric.

Performance evaluation of an information resource in a computer network environment

A request for aggregate data stored in an aggregates database is received from a client device. A key-to-value dimension widening rule that applies to an aggregated data element of the requested data is identified. The key-to-value dimension widening rule includes a value dimension. A quantity of data elements that combined to form the aggregated data element is determined. A widened value dimension for the aggregated data element is calculated using the determined quantity and the value dimension. The widened value dimension is reported to the client device in response to the request.

Dimension widening aggregate data

The present disclosure is directed generally to systems and methods for the server side matching of web analytics and content viewing. According to the methods and systems disclosed herein, a first identifier is delivered to a client device when the client device accesses a first website. If the client device later accesses of a second website the first identifier can be processed by the system to determine if the client device previously accessed the first website.

Server side matching of offsite content viewing to onsite web analytics data

Systems and methods for retroactively performing dimension widening on a data element are provided. A described method includes receiving a set of data elements from a database and a set of dimension widening rules. The method further includes identifying one or more of the data elements to which any of the dimension widening rules are applicable. The method further includes processing the identified data elements by applying the applicable dimension widening rules to the identified data elements. A dimension widening delta is generated for each data element, and the dimension widening deltas may be stored. The method further includes merging one or more of the data elements with one or more of the dimension widening deltas in response to a query.

Unlimited retroactive data element dimension widening

Subject matter disclosed herein relates to document classification and/or automated document classifier tuning. In an example embodiment, a document received from a user computing platform in an online database stored in a memory of a server computing platform may be classified based, at least in part, on a training set. Also for an example embodiment, the training set may be modified based, at least in part, on statistics gathered from user browsing behavior.

Automated document classifier tuning including training set adaptive to user browsing behavior

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Mountain View, CA, United States of America

Yuan Zhuge