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Cross-lingual information retrieval
Abstract Information retrieval involves finding some required information in a collection of
information or in databases. The information or database need not necessarily be in one …
information or in databases. The information or database need not necessarily be in one …
Ranking search results using feature extraction
D Meyerzon, H Li - US Patent 7,716,198, 2010 - Google Patents
5,222,236 A 6, 1993 Potash et al................. 707/102 5,257,577 A 1 1/1993
Clark.......................... 100.99 5,594,660 A 1/1997 Sung et al................ T15, 500.1 5,606,609 A …
Clark.......................... 100.99 5,594,660 A 1/1997 Sung et al................ T15, 500.1 5,606,609 A …
System and method for ranking search results using click distance
D Meyerzon, H Zaragoza - US Patent 7,761,448, 2010 - Google Patents
5,606.609 A 2f1997 Houser et al. with each of the documents on the network. The click
distance 5,848.404 A 12, 1998 Hafner et al................... 707/3 is measurement of the number …
distance 5,848.404 A 12, 1998 Hafner et al................... 707/3 is measurement of the number …
Field weighting in text searching
S Robertson, H Zaragoza, M Taylor… - US Patent …, 2009 - Google Patents
A field-weighted search combines statistical information for each term across document
fields in a suitably weighted fash ion. Both field-specific term frequencies and field and docu …
fields in a suitably weighted fash ion. Both field-specific term frequencies and field and docu …
Ranking of web documents using semantic similarity
In recent years, semantic search for relevant documents on web has been an important topic
of research. Many semantic web search engines have been developed like Ontolook …
of research. Many semantic web search engines have been developed like Ontolook …
Enterprise relevancy ranking using a neural network
D Meyerzon, Y Shnitko, CJC Burges… - US Patent …, 2010 - Google Patents
A neural network is used to process a set of ranking features in order to determine the
relevancy ranking for a set of docu ments or other items. The neural network calculates a pre …
relevancy ranking for a set of docu ments or other items. The neural network calculates a pre …
Document length as a static relevance feature for ranking search results
V Tankovich, D Meyerzon, MJ Taylor - US Patent 9,348,912, 2016 - Google Patents
US PATENT DOCUMENTS component having a ranking component that can be used to
rank search results as part of a query response. In one embodi ment, the ranking component …
rank search results as part of a query response. In one embodi ment, the ranking component …
System and method for incorporating anchor text into ranking search results
D Meyerzon, SE Robertson, H Zaragoza… - US Patent …, 2010 - Google Patents
EP O950961 A2 10, 1999 EP O950961 A3 10, 1999 EP 1050830 A2 11/2000 EP 1120717
A2 8, 2001 EP 1282060 A2 2, 2003 EP 155777O A1 7/2005 JP 1009 1638 4f1998 JP …
A2 8, 2001 EP 1282060 A2 2, 2003 EP 155777O A1 7/2005 JP 1009 1638 4f1998 JP …
Ranking search results using biased click distance
D Meyerzon, H Zaragoza - US Patent 7,599,917, 2009 - Google Patents
US PATENT DOCUMENTS Methods of providing a document relevance score to a docu
5.222. 236 A 6, 1993 Potash et al. ment on a network are disclosed. Computer readable …
5.222. 236 A 6, 1993 Potash et al. ment on a network are disclosed. Computer readable …
Ranking search results using language types
D Meyerzon, H Zaragoza - US Patent 7,792,833, 2010 - Google Patents
Search results of a search query on a netWork are ranked according to an additional ranking
function for the prior prob ability of relevance of a document based on document prop erty …
function for the prior prob ability of relevance of a document based on document prop erty …