Google Inc.

Donn L Denman

Michal Cierniak

Marc Pawliger

Derek King Prothro

Tony Hsieh

Ario Jafarzadeh

Andrey Adaikin

Vladislav Kaznacheev

Yuri Gennadievich Dolgov

David Robert Black

Yuri Dolgov

Samarth Keshava

Daniel E Fish

Kansinee Adsanatham

Pedro S Garcia

Dmitry Barashev

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating contextual search presentations. One of the methods includes obtaining selection data identifying a term selected by a user from a document displayed to the user; determining whether or not the context data and the selection data satisfy one or more criteria for presenting any of one or more types of special case contextual search presentations; in response to determining that the context data and the selection satisfy criteria for presenting a first type of special case contextual search presentation, generating a first special case contextual search presentation of the first type; in response to determining that the context data and the selection data do not satisfy the criteria, generating a default contextual search presentation; and providing the first special case contextual search presentation or the default contextual search presentation for presentation to the user.

Generating contextual search presentations

A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Objective and subjective ranking of comments

A system may include one or more databases to store comments relating to documents, the comments originating from first and second sources, where the comments from the first source include comments received from users via commenting functionality associated with browsers installed on client devices, and the comments from the second source include comments received from users independent of the commenting functionality associated with the browsers installed on the client devices. The system may also include one or more server devices to receive a request for comments relating to a particular document, search at least one of the one or more databases to identify comments relating to the particular document, and provide the identified comments for presentation in connection with the particular document.

Presenting comments from various sources

One or more server devices receive a request associated with a link, where the link is further associated with a comment and where the comment provides an opinion of, or remarks upon, a content of a document. The one or more server devices retrieve a content of the comment associated with the link from a database and retrieve the document. The one or more server devices generate another document that displays the content of the comment and includes a frame that further displays the document, and send the generated another document to the client device.

User interface for web comments

A server device receives a comment associated with a first document, where the comment provides an opinion of, or remarks upon, a content of the first document. The server device obtains document clustering information which indicates that the first document is clustered with one or more second documents and stores, in a memory associated with the server device, the comment in association with the first document and the one or more second documents. The server device presents the comment in connection with the first document or one of the one or more second documents when the first document or the one of the one or more second documents is accessed by a user.

Clustering to spread comments to other documents

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Los Gatos, CA, United States of America

Donn L Denman