Google Inc.

Vishal Goenka

Vikas Jha

Stephen Tsun

Shamim Samadi

David Monsees

Sailendra Padala

Vassilis Argyrus Papavassiliou

Rajeev Bector

Brian Edmond Brewington

Yan Mayster

Brian Daniel Shucker

Dave Monsees

Matt Strosnick

Jaydeep Untwal

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for managing a relationship between content and an environment for provisioning the content. In one aspect, a method includes receiving a request for a content item; and in response to receiving the request: selecting a creative from a plurality of creatives, the creative including a reference to a profile associated with one or more elements; retrieving content data from one or more content feeds bound to the elements; and delivering the creative and the content data to a user device.

Content item profiles

Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for navigation and geocoding. The disclosed technology can perform operations including accessing location data and semantic tags. The location data can include information associated with locations including the location of a carrier and the location of a passenger. The semantic tags can include information associated with features of the locations. The location data and the semantic tags that satisfy meeting criteria can be identified. The meeting criteria can be associated with a suitability of a location for the carrier and the passenger. A meeting location for the carrier and the passenger can be determined based on the location data and the semantic tags that satisfy the meeting criteria. Furthermore, indications associated with the meeting location can be generated based on the features of the meeting location.

Discovery and evaluation of meeting locations using image content analysis

Embodiments of a system method and computer program product for selecting an advertisement and presenting it to a user are described. Products and services offered by various merchants are read using a merchant specific catalog and stored in a common format. Categories for such products and services are normalized and virtual categories are created using various product attributes. Visual creatives, termed as ad-templates are created to control the visual and interactive aspects of the ad, including ad-size, color, as well as product attributes that are displayed in the ad. Ad-templates may be constrained to specific products or product categories. A learning algorithm uses an adaptive sampling process to sample various products, product categories and ad-templates independently for different learning units such as individual users, groups of users determined by some demographics, individual web pages and groups of web pages grouped using various similarity criteria. The performance of the ad is measured using various learning statistics, such as the click-through-rate, conversion rate, etc. The learning algorithm uses the learning statistics to optimize the return for the advertiser by favoring the products or categories that perform better on one or more specified criteria.

System, method and computer program product for selecting internet-based advertising

A system and a computer-implemented method for sharing online content are provided. The method is implemented using a computer device coupled to a user interface and a memory device. The method includes receiving, from a sharer, a selection of at least one feed of online content to be shared and at least one sharee of the feed of online content, the feed of online content including a plurality of items, each item including a reference identifier linking each item to respective historical interaction data, pairing the sharer with at least one sharee of the feed of online content by securely linking an account of the sharer to an account of the sharee, sharing the selected at least one feed of online content from the sharer to the sharee, and displaying a link to the shared feed as a normal feed object under the sharee's account.

Method and system for sharing online content

Systems, methods, and computer-readable media for representing and processing inter-slot co-occurrence constraints on component selection for dynamically generated content items are disclosed. Components available for constructing the content items are organized into a hierarchy of categories. Co-occurrence constraints are specified in terms of categories in the hierarchy rather than explicit enumerated black-lists or white-lists at the component-to-component level. A set of processing rules based on the hierarchical taxonomy are used to expand a set of co-occurrence constraints specified in terms of categories into explicit enumerations of allowed component combinations, and to resolve potential conflicts in the set of co-occurrence constraints in a predictable manner. The explicit enumerations of allowed component combinations can be stored in a relational data table. When constructing a content item, candidate components can be obtained by querying the relational data table.

Representing and processing inter-slot constraints on component selection for dynamic ads

Growing community of inventors

Santa Clara, CA, United States of America

Vishal Goenka