Retrieval of Web Pages on Real-World Events related to Physical Objects
The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency o...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Okadome, Takeshi [verfasserIn] Funai, Hajime [author] Ito, Sho [author] Nakajima, Junya [author] Kakusho, Koh [author] |
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| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Umfang: |
Online-Ressource |
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| Reproduktion: |
IGI Global InfoSci Journals Archive 2000 - 2012 |
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| Übergeordnetes Werk: |
In: International journal of information retrieval research - Hershey, Pa : IGI Global, 2011, 2(2012), 1, Seite 65-80 |
| Übergeordnetes Werk: |
volume:2 ; year:2012 ; number:1 ; pages:65-80 |
| Links: |
|---|
| DOI / URN: |
10.4018/ijirr.2012010104 |
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NLEJ244481318 |
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| 520 | |a The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency of query words. For the genres that are characterized by their genre terms, the method optimizes the weights of the expression. Furthermore, the method attempts to improve the scores provided of relevant pages by using machine learning techniques. In addition, some evaluations are provided to show the effectiveness of the method | ||
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10.4018/ijirr.2012010104 doi (DE-627)NLEJ244481318 (VZGNL)10.4018/ijirr.2012010104 DE-627 ger DE-627 rakwb eng Okadome, Takeshi verfasserin aut Retrieval of Web Pages on Real-World Events related to Physical Objects 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency of query words. For the genres that are characterized by their genre terms, the method optimizes the weights of the expression. Furthermore, the method attempts to improve the scores provided of relevant pages by using machine learning techniques. In addition, some evaluations are provided to show the effectiveness of the method IGI Global InfoSci Journals Archive 2000 - 2012 Event-Related Query Genre Term Noun Physical Objects Verb Web Page Retrieval Funai, Hajime author aut Ito, Sho author aut Nakajima, Junya author oth Kakusho, Koh author oth In International journal of information retrieval research Hershey, Pa : IGI Global, 2011 2(2012), 1, Seite 65-80 Online-Ressource (DE-627)NLEJ244419159 (DE-600)2703390-9 2155-6385 nnns volume:2 year:2012 number:1 pages:65-80 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2012010104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2012010104&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 2 2012 1 65-80 |
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10.4018/ijirr.2012010104 doi (DE-627)NLEJ244481318 (VZGNL)10.4018/ijirr.2012010104 DE-627 ger DE-627 rakwb eng Okadome, Takeshi verfasserin aut Retrieval of Web Pages on Real-World Events related to Physical Objects 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency of query words. For the genres that are characterized by their genre terms, the method optimizes the weights of the expression. Furthermore, the method attempts to improve the scores provided of relevant pages by using machine learning techniques. In addition, some evaluations are provided to show the effectiveness of the method IGI Global InfoSci Journals Archive 2000 - 2012 Event-Related Query Genre Term Noun Physical Objects Verb Web Page Retrieval Funai, Hajime author aut Ito, Sho author aut Nakajima, Junya author oth Kakusho, Koh author oth In International journal of information retrieval research Hershey, Pa : IGI Global, 2011 2(2012), 1, Seite 65-80 Online-Ressource (DE-627)NLEJ244419159 (DE-600)2703390-9 2155-6385 nnns volume:2 year:2012 number:1 pages:65-80 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2012010104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2012010104&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 2 2012 1 65-80 |
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10.4018/ijirr.2012010104 doi (DE-627)NLEJ244481318 (VZGNL)10.4018/ijirr.2012010104 DE-627 ger DE-627 rakwb eng Okadome, Takeshi verfasserin aut Retrieval of Web Pages on Real-World Events related to Physical Objects 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency of query words. For the genres that are characterized by their genre terms, the method optimizes the weights of the expression. Furthermore, the method attempts to improve the scores provided of relevant pages by using machine learning techniques. In addition, some evaluations are provided to show the effectiveness of the method IGI Global InfoSci Journals Archive 2000 - 2012 Event-Related Query Genre Term Noun Physical Objects Verb Web Page Retrieval Funai, Hajime author aut Ito, Sho author aut Nakajima, Junya author oth Kakusho, Koh author oth In International journal of information retrieval research Hershey, Pa : IGI Global, 2011 2(2012), 1, Seite 65-80 Online-Ressource (DE-627)NLEJ244419159 (DE-600)2703390-9 2155-6385 nnns volume:2 year:2012 number:1 pages:65-80 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2012010104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2012010104&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 2 2012 1 65-80 |
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10.4018/ijirr.2012010104 doi (DE-627)NLEJ244481318 (VZGNL)10.4018/ijirr.2012010104 DE-627 ger DE-627 rakwb eng Okadome, Takeshi verfasserin aut Retrieval of Web Pages on Real-World Events related to Physical Objects 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency of query words. For the genres that are characterized by their genre terms, the method optimizes the weights of the expression. Furthermore, the method attempts to improve the scores provided of relevant pages by using machine learning techniques. In addition, some evaluations are provided to show the effectiveness of the method IGI Global InfoSci Journals Archive 2000 - 2012 Event-Related Query Genre Term Noun Physical Objects Verb Web Page Retrieval Funai, Hajime author aut Ito, Sho author aut Nakajima, Junya author oth Kakusho, Koh author oth In International journal of information retrieval research Hershey, Pa : IGI Global, 2011 2(2012), 1, Seite 65-80 Online-Ressource (DE-627)NLEJ244419159 (DE-600)2703390-9 2155-6385 nnns volume:2 year:2012 number:1 pages:65-80 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2012010104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2012010104&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 2 2012 1 65-80 |
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The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency of query words. For the genres that are characterized by their genre terms, the method optimizes the weights of the expression. Furthermore, the method attempts to improve the scores provided of relevant pages by using machine learning techniques. In addition, some evaluations are provided to show the effectiveness of the method |
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The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency of query words. For the genres that are characterized by their genre terms, the method optimizes the weights of the expression. Furthermore, the method attempts to improve the scores provided of relevant pages by using machine learning techniques. In addition, some evaluations are provided to show the effectiveness of the method |
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The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency of query words. For the genres that are characterized by their genre terms, the method optimizes the weights of the expression. Furthermore, the method attempts to improve the scores provided of relevant pages by using machine learning techniques. In addition, some evaluations are provided to show the effectiveness of the method |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ244481318</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240202180158.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">150605s2012 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/ijirr.2012010104</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ244481318</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/ijirr.2012010104</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Okadome, Takeshi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Retrieval of Web Pages on Real-World Events related to Physical Objects</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency of query words. For the genres that are characterized by their genre terms, the method optimizes the weights of the expression. Furthermore, the method attempts to improve the scores provided of relevant pages by using machine learning techniques. 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