Using historical information to improve search across heterogeneous indices
A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would...
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creator | Vogl, Norbert G Rajamani, Nithya Devarakonda, Murthy V Hosn, Rafah A Deng, Yu |
description | A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed. |
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In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200128&DB=EPODOC&CC=US&NR=10546025B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200128&DB=EPODOC&CC=US&NR=10546025B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Vogl, Norbert G</creatorcontrib><creatorcontrib>Rajamani, Nithya</creatorcontrib><creatorcontrib>Devarakonda, Murthy V</creatorcontrib><creatorcontrib>Hosn, Rafah A</creatorcontrib><creatorcontrib>Deng, Yu</creatorcontrib><title>Using historical information to improve search across heterogeneous indices</title><description>A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyzEOwjAMQNEsDAi4gzkAUim0B6AqQmKEzpUV3MZSG0d24Px04ABMf3l_7e6dcRwhsGVR9jgBx0F0xswSIQvwnFQ-BEaoPgB6FTMIlEllpEjytmV5sSfbutWAk9Hu143bX9tncztQkp4soV987rvHsajOdVFWl_L0j_kC0KA2dA</recordid><startdate>20200128</startdate><enddate>20200128</enddate><creator>Vogl, Norbert G</creator><creator>Rajamani, Nithya</creator><creator>Devarakonda, Murthy V</creator><creator>Hosn, Rafah A</creator><creator>Deng, Yu</creator><scope>EVB</scope></search><sort><creationdate>20200128</creationdate><title>Using historical information to improve search across heterogeneous indices</title><author>Vogl, Norbert G ; Rajamani, Nithya ; Devarakonda, Murthy V ; Hosn, Rafah A ; Deng, Yu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US10546025B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Vogl, Norbert G</creatorcontrib><creatorcontrib>Rajamani, Nithya</creatorcontrib><creatorcontrib>Devarakonda, Murthy V</creatorcontrib><creatorcontrib>Hosn, Rafah A</creatorcontrib><creatorcontrib>Deng, Yu</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Vogl, Norbert G</au><au>Rajamani, Nithya</au><au>Devarakonda, Murthy V</au><au>Hosn, Rafah A</au><au>Deng, Yu</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Using historical information to improve search across heterogeneous indices</title><date>2020-01-28</date><risdate>2020</risdate><abstract>A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Using historical information to improve search across heterogeneous indices |
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