Oracle International Corporation

John Eric Baum

Charles Randall Wilson

Gerhard Brugger

Manish Verma

Qian Jiang

Filippo Ferdinando Paolo Beghelli

Rodney Garling, Jr

Katherine W Ward

Guigen Zhang

A method of classifying individual documents in a document collection according to a hierarchy may include selecting an object from the hierarchy, generating one or more variants for the object, and for each of the one or more variants, determining a frequency threshold based at least in part on how frequently the one or more variants occurs in the document collection. The method may also include selecting a first document in the document collection, where the first document includes one or more objects that match at least one of the one or more variants. The method may additionally include determining that the number of the one or more objects exceeds the frequency threshold and classifying the first document with the object in the hierarchy.

Hierarchical data classification using frequency analysis

Systems, methods, and other embodiments associated with search query task management for search system tuning are described. In one embodiment, a method includes receiving interaction data that describes an interaction with a search system. The search system includes a search engine configured to process search queries to return results that include a ranked set of documents that are relevant to respective search queries. A search query to be used as a basis for search engine tuning is identified based on at least the interaction data. Request data describing a tuning request for the identified search query is transmitted to a search query tuning system. In response to the tuning request for the identified search query, the search query tuning system adds the identified search query to a set of search queries that are candidates for use as a basis for search engine tuning.

Search query task management for search system tuning

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Thousand Oaks, CA, United States of America

John Eric Baum