Abstract: A method, system, and graphical user interface for improved web searching via user-specified annotations are disclosed. One aspect of the invention involves a computer-implemented method in which a search engine receives a user's ratings of some, but not all, web pages associated with a group of web pages. The group of web pages is selected from the group consisting of web pages in a particular web site and web pages in a particular subunit of a web site. The search engine generates a user-specific site rating for the group of web pages based on the user's ratings for web pages in the group of web pages. The search engine uses the generated site rating for the group of web pages when responding to a search query from the user.

Abstract: Systems and methods relating to website quality rating are disclosed. Websites are rated, relationships between ratings and website signals are identified, models are generated and modeled ratings are assigned to unrated websites by applying the models to the website signals of the unrated websites.

Abstract: A method of embedding evaluations in a document is described. An identifier tag is embedded in the document in response to a first user action. The document may include a web page. The identifier tag includes a review and an identifier associated with an entity that is a subject of the review. A rating tag is embedded in the document in response to a second user action. The rating tag includes a rating value corresponding to a user-selected rating of the entity that is the subject of the review. The rating value may be selected from a set of pre-determined rating values.

Abstract: A method, system, and graphical user interface for improved web searching via user-specified annotations are disclosed. One aspect of the invention involves a graphical user interface on a computer that includes a ranked set of links responsive to a search request by a user. At least some of the links are to documents that have not previously been rated by the user and at least some of the links are to documents that have previously been rated by the user. The links are displayed in an order that depends at least in part on the ratings of the documents that have previously been rated by the user.

Abstract: A method and system of selecting content from reviews for display are described. A review is identified and partitioned. A subset of the partitions is selected based on predefined criteria. A snippet is generated from the selected partitions. A response that includes the snippet is generated.

Abstract: Contextually relevant pieces of alternative content, including advertisements, are selected for display with requested content based on documents or other second content sources that are referenced by or in the requested content.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for presenting real-time search results. In one aspect, a method includes presenting real-time search results in response to a query; and automatically updating the real-time search results.

Abstract: A method and system of selecting reviews for display are described. Reviews for a subject are identified. A subset of the identified reviews is selected based on predefined quality criteria. The selection may also be based on zero or more other predefined criteria. A response that includes content from the selected reviews is generated. The content may include the full content or snippets of at least some of the selected reviews.

Abstract: A reputation management system, method and computer readable storage medium assigns reputation scores to various types of entities including, but not limited to people, products, advertisers and merchants. A reputation function is based on a directed graph including the reviewers and the reviews. The nodes in the graph represent the reviewers and the reviews and the links in the graph represent the ratings. The reputation function is iteratively solved until a convergence condition is met. Prior to convergence, when a stability condition is met, the reputation function is modified so as to remove portions of the function corresponding to nodes with negative reputations. Upon convergence, reputation values for at least the reviewers and reviews corresponding to nodes that have not been removed from the reputation function are generated.

Abstract: A method and system of selecting reviews for display are described. Reviews for a subject are identified and organized into two or more clusters. Reviews are selected from each cluster. A response that includes content from the selected reviews is generated. The content may include the full content or snippets of at least some of the selected reviews.

Abstract: A method and system of selecting reviews for display are described. Reviews for a subject are identified. A subset of the identified reviews is selected based on predefined quality criteria. The selection may also be based on zero or more other predefined criteria. A response that includes content from the selected reviews is generated. The content may include the full content or snippets of at least some of the selected reviews.

Abstract: A method and system of selecting reviews for display are described. Reviews for a subject are identified and an overall rating for the subject is determined. A subset of the identified reviews is selected based on the rating range in which the overall rating falls. The selection may also be based on zero or more other predefined criteria. A response that includes content from the selected reviews is generated. The content may include the full content or snippets of at least some of the selected reviews.

Abstract: A method and system of selecting content from reviews for display are described. A review is identified and partitioned. A subset of the partitions is selected based on predefined criteria. A snippet is generated from the selected partitions. A response that includes the snippet is generated.

Abstract: A reputation management system assigns reputation scores to various types of entities including, but not limited to people, products, advertisers and merchants. A reputation function is based on a directed graph including the reviewers and the reviews. The nodes in the graph represent the reviewers and the reviews and the links in the graph represent the ratings. Ratings may be negative in nature so the links which may include negative values which must be accounted for in the reputation function. The reputation function is iteratively solved until a convergence condition is met. Prior to convergence, when a stability condition is met nodes with negative reputations are removed from the reputation function.

Abstract: A method and system of selecting reviews for display are described. Reviews for a subject are identified and organized into two or more clusters. Reviews are selected from each cluster. A response that includes content from the selected reviews is generated. The content may include the full content or snippets of at least some of the selected reviews.