10. In a computing environment, a system comprising: a Boltzmann machine configured to rank multilingual documents relative to one another, including relating features of documents to topic-based clusters of documents, the Boltzmann machine further configured to rank documents of different languages relative to a query based upon similarity data between documents according to features of those documents; and a display configured to display a set of documents in response to the query, wherein the display of the set of documents is ordered at least in part based on results from the Boltzmann machine.
10. In a computing environment, a system comprising: a Boltzmann machine configured to rank multilingual documents relative to one another, including relating features of documents to topic-based clusters of documents, the Boltzmann machine further configured to rank documents of different languages relative to a query based upon similarity data between documents according to features of those documents; and a display configured to display a set of documents in response to the query, wherein the display of the set of documents is ordered at least in part based on results from the Boltzmann machine. 11. The system of claim 10 wherein the features of the documents are based upon relevance scores between the query and the document using different fields of the document, inverse document frequencies of query words, query words found in different fields of the document, phrases found in different fields matching with the query, or term frequency of query terms occurring in different fields, or any combination of relevance scores between the query and the document using different fields of the document, inverse document frequencies of query words, query words found in different fields of the document, phrases found in different fields matching with the query, or term frequency of query terms occurring in different fields.