Abstract: A method and system for determining topical authority may include receiving topic information for a document, the information including at least one topic and a weight for each topic, where the topic relates to content of the document, and the weight represents how strongly the topic is associated with the document. Authorship information for the document may be received, the information including, for each topic in the document, at least one author and an authorship percentage for each author. An update to an authority signature value for a first author of a first topic may be generated based on a product of an authorship percentage for the first author of the first topic and the weight of the first topic in the document, where the first topic is included in the received topic information.

Abstract: A method for categorizing documents may include receiving topic information for a source document, the information including at least one topic and a weight for each topic, where the topic relates to content of the source document, and the weight represents how strongly the topic is associated with the source document. Similarity scores may be generated based on a weight of each topic in the source document and the weight of the same topic in each document within one or more sets of documents, where each document in the one or more sets of documents comprises topic information. A confidence score may be generated, based on the similarity scores, for each of the document sets. One or more document sets may be selected based on the confidence scores and may be output to a user.

Abstract: A method and system for determining topical interest may include receiving signal information for a user of a document, the information including at least one signal value representing the user's activity with or relationship to the document. A document interest value based on the signal information for the user may be computed. Topic information for the document may be received, the information including at least one topic and a weight for each topic, where the topic relates to content of the document, and the weight represents how strongly the topic is associated with the document. An interest signature value of a first topic for the user may be updated by adding the product of the computed document interest value for the user for the document and the weight of the first topic for the document.

Abstract: A method and system for determining similar topics may include receiving user information for one or more users, the information including at least one topic and a user value for each topic, where the user value represents how strongly the user is associated with that topic. Topic information for a source topic may be generated based on the user information, the topic information including at least one user and a topic value for each user, where the topic value represents how strongly the topic is associated with that user. Similarity scores may be generated based on a topic value for each user for the source topic and a topic value for the same user for each topic in a set of topics, where each topic in the set of topics is associated with a topic value for each user. Similar topics may be selected and output.

Abstract: A method for determining active topics may include receiving topic information for a document, the information including at least one topic and a weight for each topic, where the topic relates to content of the document, and the weight represents how strongly the topic is associated with the document. User activity information for the document, including a user activity value including at least one of a number of viewers and a number of editors of the document may be received. A topic intensity for each topic may be generated and stored by multiplying the user activity value for the document by the weight of the topic in the document. The topic intensity may be monitored over time. An alert may be generated based on the topic intensity.