Google Inc.

Advay Mengle

Shreyas Doshi

Venky Ramachandran

Gaurav Garg

Anna Lynn Patterson

Gautham K Thambidorai

Srdjan Petrovic

Poorva Hari Potdar

Luke Hiro Swartz

Charmaine Cynthia Rose D'Silva

Ertan Dogrultan

Ramakrishnan Kandhan

Xin Zheng

Jindong Chen

Angela Yu-Yun Yeung

Daniel Andersson

James Christopher Davidson

Luke Friedman

Louis Shao

Guarav Garg

Tania Bedrax Weiss

Md Sabbir Yousuf Sanny

Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium. A method includes: for each of a plurality of content items in an inventory of content items: identifying an entity associated with the content item and a plurality of page types for a vertical associated with a product or service described in the content item; locating a plurality of informational pages associated with the entity; classifying each informational page based on the page types; identifying queries associated with the entity, wherein a query is used as a selection criteria for delivering one or more content items associated with the entity; for each informational page of the plurality of informational pages determining relevant queries from the identified queries; and storing in a data structure an association between the content item, data associated with the relevant queries and associated informational pages.

Structured informational link annotations

Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. A query is received. Search results are identified that are responsive to the query. A content item is identified for presentation along with the search results. It is determined, based on one or more criteria, when the content item is to be augmented. When it is determined that the content item is to be augmented and after identifying the search results, the content item is augmented based at least in part on an entry in the search result. An augmented content item is created. The augmented content item is provided.

Augmenting a content item using search results content

Systems and methods for generating navigation filters are provided. A target resource is parsed and occurrences of data entries representing archetypal headings and/or archetypal items for a navigation filter are identified in the content of the target resource. A path to each of the identified occurrences is determined and used to construct a query for additional navigation filter headings and/or navigation filter items that have the same path as an identified occurrence. Identified occurrences of archetypal data entries in the target resource and the additional content having the same path as an identified occurrence are used as potential navigation filter headings and/or potential navigation filter items. Navigation filters are generated by associating one or more of the potential navigation filter items with one of the potential navigation filter headings.

Systems and methods for generating navigation filters

Methods and apparatus are described herein for classifying user reviews or portions thereof as being related to various entities, and for associating extracted descriptive segments of text contained in those user reviews or portions thereof with entities based on the classifications. In various implementations, one or more categories of observed user interest may be identified based on a corpus of user queries. One or more segments of text related to the one or more categories of observed user interest may be detected in one or more user reviews associated with a product. Based on the detecting, the product may be indexed on the one or more categories of observed user interest in a searchable database. In some implementations, the searchable database may be accessible to one or more remote client devices, and may be searchable by the one or more categories of observed user interest to provide search results to be rendered by the one or more remote client devices.

Analyzing user reviews to determine entity attributes

Methods and apparatus related to automatically rewriting a string of text utilizing one or more rewrite rules. Some implementations are directed to scoring rewrite rules based at least in part on user interactions with rewrites that are generated by applying the rewrite rules. Some implementations are directed to determining the effectiveness of a rewrite generated based on applying one or more rewrite rules to a string of text. In some of those implementations, the determination may be based at least in part on one or more characteristics of the string of text, one or more characteristics of the rewrite, and/or scores associated with the rewrite rules.

Methods and apparatus related to automatically rewriting strings of text

Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that includes a synthesis subsystem that automatically creates components for inclusion in a creative. The synthesis subsystem includes one or more modules that receive, as input, crawled content or metadata known or identified by the content serving system, and produce, as an output, a synthesized component for inclusion in a prospective creative. The system further includes an evaluation subsystem that evaluates quality of each of the synthesized components generated by the synthesis subsystem to determine measurable quality as against a baseline quality level. The system further includes a serving subsystem that receives queries and selects relevant content items responsive to the queries including, for a given content item, identification of one or more synthesized components generated by the synthesis subsystem depending on the evaluation of the respective synthesized components by the evaluation subsystem.

Automatic synthesis and evaluation of content

Methods and apparatus are described herein for classifying user reviews or portions thereof as being related to various entities, and for associating extracted descriptive segments of text contained in those user reviews or portions thereof with entities based on the classifications. In various implementations, one or more portions of a corpus of user reviews may be classified as being related to a first entity or a second entity. One or more descriptive segments of text may be extracted from the one or more classified portions. The one or more extracted descriptive segments of text may be associated with the first or second entity based on classifications of the one or more classified portions.

Systems and methods for providing navigation filters within content items distributed via a computer network are provided. A navigation filter includes a heading and a plurality of items associated with the heading and can function as a summary of a resource associated with a distributed content item. A described method includes receiving a request for content from a user device, selecting a content item in response to the request, identifying one or more navigation filters associated with the selected content item, generating display data including the selected content item and the one or more navigation filters, and providing the display data for presentation to the user device.

Systems and methods for providing navigation filters

Methods and apparatus are disclosed for determining similarities and/or differences between entities in a segment of text based on various signals are presented, and for determining one or more likelihoods that one or more subjects found in a segment of text are capable of performing one or more associated actions based on various signals.

Automated reading comprehension

Methods and apparatus related to determining an edit rule based on a plurality of edits. Some implementations are directed to identifying the plurality of edits in one or more documents and determining an edit rule based on the pre-edit and post-edit phrases of the edits. Some implementations are directed to identifying the edits from one or more mature documents. The determined edit rule may be utilized to determine one or more candidate rephrasings of a subsequent phrase.

Growing community of inventors

Sunnyvale, CA, United States of America

Advay Mengle