Abstract: A system and method for scoring documents is described. One or more documents are identified responsive to a search criteria. A text match score indicating a quality of match of the identified documents is determined. A category match score is determined over categories. A document-categories score is determined indicating a quality of match between an identified document and a plurality of categories. A search criteria-categories score is determined indicating a quality of match between the search criteria and the categories. An overall score is determined based on the text match score and the category match score.

Abstract: A system plots results of a data search. The system executes one or more search queries to search stored data. The system receives results of the executed one or more search queries, where the results are orderable by at least one search characteristic. The system designates a visual representation for each of the results. The system plots each of the visual representations on a multi-dimensional graphical display, where at least one dimension of the multi-dimensional graphical display corresponds to the at least one search characteristic.

Abstract: A system identifies a document and obtains one or more types of history data associated with the document. The system may generate a score for the document based, at least in part, on the one or more types of history data.

Abstract: A system may determine a measure of how a content of a document changes over time, generate a score for the document based, at least in part, on the measure of how the content of the document changes over time, and rank the document with regard to at least one other document based, at least in part, on the score.

Abstract: A system may determine time-varying behavior of links pointing to a document, generate a score for the document based, at least in part, on the time-varying behavior of the links pointing to the document, and rank the document with regard to at least one other document based, at least in part, on the score.

Abstract: A system may determine a document inception date associated with a document, generate a score for the document based, at least in part, on the document inception date, and rank the document with regard to at least one other document based, at least in part, on the score.

Abstract: A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.

Abstract: A system determines whether a received search query includes an entity name, determines whether to rewrite the received search query based on information relating to prior searches involving the entity name, and rewrites the received search query when it is determined that the received search query should be rewritten. The system further determines whether to provide a suggestion of rewriting the received search query, as a rewriting suggestion, based on information relating to prior searches involving the entity name when it is determined that the received search query should not be rewritten. The system also generates the rewriting suggestion when it is determined that the rewriting suggestion should be provided. The system performs a search based on one of the received search query and the rewritten search query to obtain search results, presents the search results, and presents the rewriting suggestion when it is determined that the rewriting suggestion should be provided.

Abstract: A system identifies a document and obtains one or more types of history data associated with the document. The system may generate a score for the document based, at least in part, on the one or more types of history data.