Facebook, Inc.

Ashoat Tevosyan

Allison Elaine Ball

Kaushik Mohan Iyer

Mikhail I Okunev

Erich James Owens

Holly Marie Ormseth

Varun Vikram Bhartia

Todd Michael Hamilton

Amy Mercy Hwang

Alan Grant McConnell

In one embodiment, a method includes retrieving comments associated with a content object on a social-networking system, determining a score for each of the comments, where the score is based on one or more signals associated with the comment, the signals are related to one or more audience interactions with the comment, and each of the audience interactions includes an interaction by a respective audience member with the comment. The method further includes ordering the comments based on the respective scores, and presenting the ordered comments to a target user. Each of the audience interactions may include one or more responses to the audience interaction by an author of the comment. The signals may be based on existence of an edge between a user node representing the audience member and a user node representing an author of the comment in a social graph on the social-networking system.

Ranking and filtering comments based on audience

In one embodiment, a method includes retrieving a set of comments associated with one or more content objects in a social-networking system, determining a score for each of the comments for a selected one of the content objects, where the score for each of the comments is based on signals associated with the comment, and the signals are related to a history of user interactions by a target user with the comments in the set, ordering the comments for the selected content object based on the respective scores, and presenting the ordered comments to the target user. The content objects may be presented in a newsfeed for the target user. The signals may be based on a history of user interactions by other users with the comments in the set, where the other users are connected to the target user in the social-networking system.

Ranking and filtering comments based on feed interaction history

A first set of posts associated with a verified entity can be identified. A second set of posts associated with the verified entity and with one or more particular topics can be identified. At least a first subset of the first set of posts and at least a second subset of the second set of posts can be ranked to produce a ranked set of posts that are associated, at least in part, with the verified entity. The verified entity can be provided with access to at least some posts in the ranked set of posts. Moreover, a canonical post authored by a verified entity can be identified. It can be determined that one or more subsequent posts have at least a specified threshold level of relevance with respect to the canonical post. The verified entity can be provided with access to the one or more subsequent posts.

Systems and methods for providing content to verified entities

In one embodiment, a method includes retrieving a plurality of comments associated with a content object on a social-networking system, determining a score for each of the comments, wherein the score is based on one or more signals associated with the comment, and where the signals are related to the identity of an author of the comment or content of the comment, ordering the comments based on the respective scores, and presenting one or more of the ordered comments to a target user. The method may further include excluding one or more of the comments based on a filtering condition. One of the signals may be based on how many times the comment has been (a) liked, (b) hidden, (c) marked as spam, or (d) replied to within a specified period of time. One of the signals may be based on a reputation of the author of the comment.

Ranking and filtering comments based on author and content

Embodiments described herein provide a Threaded Conversation User Interface ('TCUI') on a display area of a computer used to connect a social network. The TCUI comprises a plurality of nested columns. First, second, and third nested columns of the plurality of nested columns includes first, second, and third comments, respectively. The first nested column is positioned at a left margin of the display area, the second nested column is indented a single indentation width from the display area's left margin, and the third nested column is indented multiple indentation widths from the display area's left margin. A type of input gesture is determined from a received input gesture and in response, the TCUI is scrolled. The scrolling is terminated with at least one of second, third, or another nested column positioned at the left edge of the display area, the termination being based at least on the determined input gesture.

Threaded conversation user interface

In one embodiment, a method includes receiving a first document including at least one content item and an interactive feature which allows users to post comments or additional content in response to the content item. The first document is associated with at least one entity, and is provided from a first web domain. A second document is selected from a second web domain, where the second document has a common content item with the first document, is also associated with the entity, and has its own interactive feature for user posts. A user post is received in connection with the first document, and the interactive features of the first document and the second document are synchronized so that the user post appears in both documents at substantially the same time.

Synchronizing conversation threads corresponding to a common content item

In one embodiment, a method includes retrieving a plurality of comments associated with a content object, determining a score for each of the comments, where the score is based on one or more signals associated with the comment, and where the score is further based on a qualitative analysis of each of one or more impressions related to the comment, and wherein each of the impressions comprises an interaction by a historical user with the comment, ordering the comments based on the respective scores, presenting one or more of the ordered comments to a target user. The qualitative analysis may determine a category of interaction for the impression, the score may be based at least in part on the category of interaction, and the category of interaction may include user input related to the comment, such as a reply to the comment.

Growing community of inventors

New York, NY, United States of America

Ashoat Tevosyan