Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity
This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the p...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Devyatkov, Vladimir [verfasserIn] Alfimtsev, Alexander [author] Sakulin, Sergey [author] |
|---|
| 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 |
|---|---|
| Übergeordnetes Werk: |
In: International Journal of web portals - Hershey, Pa : IGI Global, 2009, 4(2012), 1, Seite 33-41 |
| Übergeordnetes Werk: |
volume:4 ; year:2012 ; number:1 ; pages:33-41 |
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| DOI / URN: |
10.4018/jwp.2012010103 |
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| 520 | |a This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the paper presents a method for Web personalization based on fuzzy aggregation and recognition of user activity. The advantages of this approach are (1) the ability to use two types of fuzzy integrals without using the necessary expert set of fuzzy measures and (2) covering all stages of the personalization from aggregation of a single user’s query parameters to aggregation of an individual user’s profiles in a single parameter of group of users | ||
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10.4018/jwp.2012010103 doi (DE-627)NLEJ244511993 (VZGNL)10.4018/jwp.2012010103 DE-627 ger DE-627 rakwb eng Devyatkov, Vladimir verfasserin aut Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the paper presents a method for Web personalization based on fuzzy aggregation and recognition of user activity. The advantages of this approach are (1) the ability to use two types of fuzzy integrals without using the necessary expert set of fuzzy measures and (2) covering all stages of the personalization from aggregation of a single user’s query parameters to aggregation of an individual user’s profiles in a single parameter of group of users IGI Global InfoSci Journals Archive 2000 - 2012 Choquet Fuzzy Integral Fuzzy Aggregation Fuzzy Measure Sugeno Fuzzy Integral Web Personalization Alfimtsev, Alexander author aut Sakulin, Sergey author aut In International Journal of web portals Hershey, Pa : IGI Global, 2009 4(2012), 1, Seite 33-41 Online-Ressource (DE-627)NLEJ24441968X (DE-600)2703915-8 1938-0208 nnns volume:4 year:2012 number:1 pages:33-41 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwp.2012010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwp.2012010103&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 4 2012 1 33-41 |
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10.4018/jwp.2012010103 doi (DE-627)NLEJ244511993 (VZGNL)10.4018/jwp.2012010103 DE-627 ger DE-627 rakwb eng Devyatkov, Vladimir verfasserin aut Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the paper presents a method for Web personalization based on fuzzy aggregation and recognition of user activity. The advantages of this approach are (1) the ability to use two types of fuzzy integrals without using the necessary expert set of fuzzy measures and (2) covering all stages of the personalization from aggregation of a single user’s query parameters to aggregation of an individual user’s profiles in a single parameter of group of users IGI Global InfoSci Journals Archive 2000 - 2012 Choquet Fuzzy Integral Fuzzy Aggregation Fuzzy Measure Sugeno Fuzzy Integral Web Personalization Alfimtsev, Alexander author aut Sakulin, Sergey author aut In International Journal of web portals Hershey, Pa : IGI Global, 2009 4(2012), 1, Seite 33-41 Online-Ressource (DE-627)NLEJ24441968X (DE-600)2703915-8 1938-0208 nnns volume:4 year:2012 number:1 pages:33-41 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwp.2012010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwp.2012010103&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 4 2012 1 33-41 |
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10.4018/jwp.2012010103 doi (DE-627)NLEJ244511993 (VZGNL)10.4018/jwp.2012010103 DE-627 ger DE-627 rakwb eng Devyatkov, Vladimir verfasserin aut Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the paper presents a method for Web personalization based on fuzzy aggregation and recognition of user activity. The advantages of this approach are (1) the ability to use two types of fuzzy integrals without using the necessary expert set of fuzzy measures and (2) covering all stages of the personalization from aggregation of a single user’s query parameters to aggregation of an individual user’s profiles in a single parameter of group of users IGI Global InfoSci Journals Archive 2000 - 2012 Choquet Fuzzy Integral Fuzzy Aggregation Fuzzy Measure Sugeno Fuzzy Integral Web Personalization Alfimtsev, Alexander author aut Sakulin, Sergey author aut In International Journal of web portals Hershey, Pa : IGI Global, 2009 4(2012), 1, Seite 33-41 Online-Ressource (DE-627)NLEJ24441968X (DE-600)2703915-8 1938-0208 nnns volume:4 year:2012 number:1 pages:33-41 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwp.2012010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwp.2012010103&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 4 2012 1 33-41 |
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10.4018/jwp.2012010103 doi (DE-627)NLEJ244511993 (VZGNL)10.4018/jwp.2012010103 DE-627 ger DE-627 rakwb eng Devyatkov, Vladimir verfasserin aut Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the paper presents a method for Web personalization based on fuzzy aggregation and recognition of user activity. The advantages of this approach are (1) the ability to use two types of fuzzy integrals without using the necessary expert set of fuzzy measures and (2) covering all stages of the personalization from aggregation of a single user’s query parameters to aggregation of an individual user’s profiles in a single parameter of group of users IGI Global InfoSci Journals Archive 2000 - 2012 Choquet Fuzzy Integral Fuzzy Aggregation Fuzzy Measure Sugeno Fuzzy Integral Web Personalization Alfimtsev, Alexander author aut Sakulin, Sergey author aut In International Journal of web portals Hershey, Pa : IGI Global, 2009 4(2012), 1, Seite 33-41 Online-Ressource (DE-627)NLEJ24441968X (DE-600)2703915-8 1938-0208 nnns volume:4 year:2012 number:1 pages:33-41 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwp.2012010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwp.2012010103&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 4 2012 1 33-41 |
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This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the paper presents a method for Web personalization based on fuzzy aggregation and recognition of user activity. The advantages of this approach are (1) the ability to use two types of fuzzy integrals without using the necessary expert set of fuzzy measures and (2) covering all stages of the personalization from aggregation of a single user’s query parameters to aggregation of an individual user’s profiles in a single parameter of group of users |
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This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the paper presents a method for Web personalization based on fuzzy aggregation and recognition of user activity. The advantages of this approach are (1) the ability to use two types of fuzzy integrals without using the necessary expert set of fuzzy measures and (2) covering all stages of the personalization from aggregation of a single user’s query parameters to aggregation of an individual user’s profiles in a single parameter of group of users |
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This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the paper presents a method for Web personalization based on fuzzy aggregation and recognition of user activity. The advantages of this approach are (1) the ability to use two types of fuzzy integrals without using the necessary expert set of fuzzy measures and (2) covering all stages of the personalization from aggregation of a single user’s query parameters to aggregation of an individual user’s profiles in a single parameter of group of users |
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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">NLEJ244511993</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240202180259.0</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/jwp.2012010103</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ244511993</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/jwp.2012010103</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">Devyatkov, Vladimir</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity</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">This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the paper presents a method for Web personalization based on fuzzy aggregation and recognition of user activity. The advantages of this approach are (1) the ability to use two types of fuzzy integrals without using the necessary expert set of fuzzy measures and (2) covering all stages of the personalization from aggregation of a single user’s query parameters to aggregation of an individual user’s profiles in a single parameter of group of users</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">IGI Global InfoSci Journals Archive 2000 - 2012</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Choquet Fuzzy Integral</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fuzzy Aggregation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fuzzy Measure</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sugeno Fuzzy Integral</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Web Personalization</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Alfimtsev, Alexander</subfield><subfield code="e">author</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sakulin, Sergey</subfield><subfield code="e">author</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">International Journal of web portals</subfield><subfield code="d">Hershey, Pa : IGI Global, 2009</subfield><subfield code="g">4(2012), 1, Seite 33-41</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ24441968X</subfield><subfield code="w">(DE-600)2703915-8</subfield><subfield code="x">1938-0208</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:4</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:33-41</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwp.2012010103</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwp.2012010103&buylink=true</subfield><subfield code="q">text/html</subfield><subfield code="y">Abstract</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">4</subfield><subfield code="j">2012</subfield><subfield code="e">1</subfield><subfield code="h">33-41</subfield></datafield></record></collection>
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