Abstract: Some embodiments provide a method for generating a recurring search for a research system that identifies documents as relevant to particular categories. The method generates a set of categories to include in the recurring search based on an identified user objective and an initial category by using relationship data that defines several different types of relationships between several different categories. The recurring search identifies documents from a particular period of time identified as relevant to the set of categories. The method identifies an optimal set of filters for removing specific types of documents that are relevant to the set of categories from the recurring search.

Abstract: Some embodiments provide a program that identifies an entity having an entity attribute. The program receives, from each method of several methods, a set of candidate identity attributes that are each for identifying a particular entity having the entity attribute specified in the document. Each method of the several methods generates the corresponding set of candidate identity attributes based on the entity attribute specified in a document. The program calculates a score for each candidate identity attribute in the sets of candidate identity attributes. The program identifies, based on the sets of scores, an identity attribute from the sets of candidate identity attributes that identifies the entity having the entity attribute specified in the document.

Abstract: Some embodiments provide a method for identifying an event for a particular category. The method classifies several documents as relevant to several different categories. The method identifies a number of documents relevant to the particular category for a current time period and a background time period. Based on a comparison of the number of documents from the current time period relevant to the particular category and the number of documents from the background time period relevant to the particular category, the method identifies an event for the category for the current time period. Some embodiments calculated a score for the event, and normalize the score based on an average number of documents relevant to each of a set of related categories including the particular category.

Abstract: Some embodiments provide a machine-implemented method. The method identifies an event for a particular category based on a number of documents classified as relevant to the particular category in a particular period of time. Based on content of the documents classified as relevant to the particular category, the method identifies a set of keywords for the event. The method uses the keywords to automatically select a representative document for the event. Some embodiments store a link to the representative document and automatically determine whether the particular document is still accessible at the link. When the document is no longer accessible at the link, the method replaces the document with a backup document as the representative document for the event.

Abstract: Embodiments herein receive a set of content quality threshold values, a search string, and a content data stream at a content quality metric (CQM) apparatus. Content segments associated with the content data stream are scored and/or graded according to a set of content relevance scales. The content data stream is then filtered to include only passing content segments and intermediate calculation values used to determine whether a content segment is passing. Other embodiments are described and claimed.

Abstract: Embodiments herein receive a set of content quality threshold values, a search string, and a content data stream at a content quality metric (CQM) apparatus. Content segments associated with the content data stream are scored and/or graded according to a set of content relevance scales. The content data stream is then filtered to include only passing content segments and intermediate calculation values used to determine whether a content segment is passing. Other embodiments are described and claimed.

Abstract: Embodiments herein receive a set of content quality threshold values, a search string, and a content data stream at a content quality metric (CQM) apparatus. Content segments associated with the content data stream are scored and/or graded according to a set of content relevance scales. The content data stream is then filtered to include only passing content segments and intermediate calculation values used to determine whether a content segment is passing. Other embodiments are described and claimed.