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 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.