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An approach to predict the task efficiency of web pages.

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Title: An approach to predict the task efficiency of web pages.
Authors: Saha, Sangita1, sangitasaha1234@gmail.com, Senapati, Apurbalal1, Maity, Ranjan1
Source: Multimedia Tools & Applications; Jul2023, Vol. 82 Issue 16, p25217-25233, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: An approach to predict the task efficiency of web pages.
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  Data: <searchLink fieldCode="AU" term="%22Saha%2C+Sangita%22">Saha, Sangita</searchLink><relatesTo>1</relatesTo>, <i>sangitasaha1234@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Senapati%2C+Apurbalal%22">Senapati, Apurbalal</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Maity%2C+Ranjan%22">Maity, Ranjan</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jul2023, Vol. 82 Issue 16, p25217-25233, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164477109
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      – Type: doi
        Value: 10.1007/s11042-023-14619-3
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 25217
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      – TitleFull: An approach to predict the task efficiency of web pages.
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            NameFull: Saha, Sangita
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            NameFull: Senapati, Apurbalal
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            – D: 01
              M: 07
              Text: Jul2023
              Type: published
              Y: 2023
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