System and Method For Ranking Search Results Within Citation Intensive Document Collections
AssigneeLexisNexis, a division of Reed Elsevier Inc.
InventorsLing Qin Zhang, Harry R. Silver
Life of this patent
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AssigneeLexisNexis, a division of Reed Elsevier Inc.
InventorsLing Qin Zhang, Harry R. Silver
Estimating the term…
Systems and methods facilitate a search and identify documents and associated metadata reflecting content of the documents. In one implementation, a method receives a query comprising a set of search terms, identifies a stored document in response to the query, and determines a score value for the retrieved document based on a similarity between one or more of the query search terms and metadata associated with the identified document. The method locates the identified document in a citation network of baseline query results, the citation network comprising a first set of documents that cite to the identified document and a second set of documents cited to by the identified document. The method further determines a new score value of the identified document as a function of the score value and a quantity and a quality of documents within the first and second set of documents.
A computerized method for calculating a normalized activity score value to rank an identified document, the method comprising:
A non-transitory computer-readable medium comprising program instructions, which, when executed by a processor, cause the processor to perform a method for calculating a normalized activity score to rank an identified document, the method comprising:
Dependencies are inferred from the claim text.