Google Inc.

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David Bau

Scott A Safier

Ching Yu Conrad Lo

Osman Ahmed Osman

Frances Bordwell Haugen

Sean Liu

Doug Sherrets

Max Ventilla

Benedict A Gomes

Lev Finkelstein

Brad Seiler

Eddo Kim

Lauren Ouellette

Xichen Yu

A system obtains a document that is responsive to a user query. The system determines an interest of the user based on stored data associated with the user, and determines that a portion of the document relates to the interest of the user. The system generates a first snippet for the document based on the portion of the document that relates to the interest of the user, and provides the first snippet for the document as part of a result list.

Automatic generation of snippets based on context and user interest

Systems, computer program products, apparatus, and methods are described that perform operations including receiving a search query that includes a name, receiving multiple resources that have been identified by a search engine as best satisfying the search query, wherein the identified multiple resources include a resource including a plurality of images. The operations include identifying an image of the plurality of images displaying a face of the person. The image is identified based on a description associated with the image. The description is based at least in part on one or more resources included in the search results. The operations further include providing the identified image with the search results. The search results are provided as a plurality of links. Each link identifies a corresponding resource of the identified plurality of resources.

Providing images of named resources in response to a search query

Methods, systems and apparatus are described herein that include obtaining metadata within a document, where the metadata comprises a sequence of terms. Tags are assigned to terms in the sequence of terms based at least in part on grammatical relationships between the terms, thereby forming a corresponding sequence of tags. A determination is made that the sequence of terms is grammatically correct based at least in part on tags within the corresponding sequence of tags. In response to the determination, the sequence of terms is stored as a query suggestion.

Processing of document metadata for use as query suggestions

A computer system is configured to determine portions of text extracted from a corresponding group of documents; process a particular portion of text by a set of filters, where the particular portion of text may correspond to a particular document, and where each of the filters may generate a respective score based on processing the particular portion of text; calculate a readability score based on the respective scores generated by the filters; determine that the readability score satisfies a threshold score; and generate or select a new portion of text, for the particular document, based on determining that the readability score satisfies the threshold score.

Detecting document text that is hard to read

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Brooklyn, NY, United States of America

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