Tony Hsieh

In one embodiment, a method includes identifying one or more first users of a social-networking system associated with one or more content objects not previously viewed by a second user. The identification is based at least in part on an affinity of the second user for the first users and the first users are connected to the second user on a social graph. The method also includes providing, for display on a client device of the second user, information indicating that one or more of the… Show more

In one embodiment, a method includes identifying one or more first users of a social-networking system associated with one or more content objects not previously viewed by a second user. The identification is based at least in part on an affinity of the second user for the first users and the first users are connected to the second user on a social graph. The method also includes providing, for display on a client device of the second user, information indicating that one or more of the identified first users has content objects not previously viewed by the second user; receiving an input selecting one of the identified first users; and providing, for display on the client device, an online page comprising content associated with the selected first user that incorporates one or more of the content objects not previously viewed by the second user. Show less

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… Show more

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. Show less

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… Show more

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. Show less

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… Show more

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. Show less

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… Show more

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. Show less

In one embodiment, a method includes receiving an input corresponding to a search query from an online page of a social-networking system. The online page corresponds to a target user of the social-networking system. The method also includes identifying one or more of a number of content objects associated with the target user. The association is based at least in part on analyzing text, audio, or visual content of each of the plurality of content objects as well as interactions by the target… Show more

In one embodiment, a method includes receiving an input corresponding to a search query from an online page of a social-networking system. The online page corresponds to a target user of the social-networking system. The method also includes identifying one or more of a number of content objects associated with the target user. The association is based at least in part on analyzing text, audio, or visual content of each of the plurality of content objects as well as interactions by the target user with each of the plurality of content objects. The method also includes scoring each of the identified content objects based at least in part on an affinity score of the content object relative to a querying user; and ranking each of the identified content objects based at least in part on the affinity score. Show less