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Libri sul tema "Personalization"

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Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 15 giugno 2024

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1

Mandai, Masaki, a cura di. Personalization in Gynecologic Oncology. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4711-7.

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2

Carberry, Sandra, Stephan Weibelzahl, Alessandro Micarelli e Giovanni Semeraro, a cura di. User Modeling, Adaptation, and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38844-6.

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3

Houben, Geert-Jan, Gord McCalla, Fabio Pianesi e Massimo Zancanaro, a cura di. User Modeling, Adaptation, and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02247-0.

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4

Tanaka, Yuzuru, Nicolas Spyratos, Tetsuya Yoshida e Carlo Meghini, a cura di. Information Search, Integration and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40140-4.

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5

Flouris, Giorgos, Dominique Laurent, Dimitris Plexousakis, Nicolas Spyratos e Yuzuru Tanaka, a cura di. Information Search, Integration, and Personalization. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44900-1.

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6

Konstan, Joseph A., Ricardo Conejo, José L. Marzo e Nuria Oliver, a cura di. User Modeling, Adaption and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22362-4.

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7

Masthoff, Judith, Bamshad Mobasher, Michel C. Desmarais e Roger Nkambou, a cura di. User Modeling, Adaptation, and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31454-4.

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8

Grant, Emanuel, Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos e Yuzuru Tanaka, a cura di. Information Search, Integration, and Personalization. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43862-7.

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9

De Bra, Paul, Alfred Kobsa e David Chin, a cura di. User Modeling, Adaptation, and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13470-8.

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10

Ricci, Francesco, Kalina Bontcheva, Owen Conlan e Séamus Lawless, a cura di. User Modeling, Adaptation and Personalization. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20267-9.

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11

Castellano, Giovanna, Lakhmi C. Jain e Anna Maria Fanelli, a cura di. Web Personalization in Intelligent Environments. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02794-9.

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12

Mobasher, Bamshad, e Sarabjot Singh Anand, a cura di. Intelligent Techniques for Web Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11577935.

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13

Kotzinos, Dimitrios, Yeow Wei Choong, Nicolas Spyratos e Yuzuru Tanaka, a cura di. Information Search, Integration and Personalization. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38901-1.

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14

Kotzinos, Dimitris, Dominique Laurent, Nicolas Spyratos, Yuzuru Tanaka e Rin-ichiro Taniguchi, a cura di. Information Search, Integration, and Personalization. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30284-9.

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15

Kawtrakul, Asanee, Dominique Laurent, Nicolas Spyratos e Yuzuru Tanaka, a cura di. Information Search, Integration, and Personalization. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08732-0.

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16

Dimitrova, Vania, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog e Geert-Jan Houben, a cura di. User Modeling, Adaptation, and Personalization. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3.

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17

G, Uchyigit, e Ma M. Y, a cura di. Personalization techniques and recommender systems. Hackensack, NJ: World Scientific, 2008.

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18

Germanakos, Panagiotis, e Marios Belk. Human-Centred Web Adaptation and Personalization. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28050-9.

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19

Howard, Rob. Site server 3.0: Personalization and membership. Birmingham, UK: Wrox Press, 1998.

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20

Heikkinen, Kari. Conceptualization of user-centric personalization management. Lappeenranta: Lappeenranta University of Technology, 2005.

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21

Carlos, Delgado Kloos, e Lopez Nores Martin, a cura di. Personalization of interactive multimedia services: A reseach and development perspective. New York: Nova Science Publishers, 2008.

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22

Hermans, Hubert J. M., e Rob Bartels. Citizenship Education and the Personalization of Democracy. New York, NY : Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9781003031116.

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23

Sorce, Patricia A. Personalization: Data-driven print and Internet communications. Rochester, NY: RIT Cary Graphic Arts Press, 2009.

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24

Wallace, Manolis, Marios C. Angelides e Phivos Mylonas, a cura di. Advances in Semantic Media Adaptation and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-76361-1.

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25

Sorce, Patricia A. Personalization: Data-driven print and Internet communications. Rochester, NY: RIT Cary Graphic Arts Press, 2009.

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26

Manolis, Wallace, Angelides Marios C e Mylonas Phivos, a cura di. Advances in semantic media adaptation and personalization. Berlin: Springer Verlag, 2008.

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27

Personalization: Data-driven print and Internet communications. Rochester, NY: RIT Cary Graphic Arts Press, 2009.

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28

Liaskos, Sotirios. Goal analysis for software customization and personalization. Ottawa: National Library of Canada, 2003.

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29

C, Angelides Marios, e International Workshop on Semantic Media Adaptation and Personalization (2nd : 2007 : London, England), a cura di. Advances in semantic media adaptation and personalization. Boca Raton, FL: Taylor & Francis, 2009.

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30

Manolis, Wallace, Angelides Marios C e Mylonas Phivos, a cura di. Advances in semantic media adaptation and personalization. Berlin: Springer Verlag, 2008.

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31

1969-, Piller Frank T., e Tseng Mitchell M. 1947-, a cura di. Handbook of research in mass customization and personalization. New Jersey: World Scientific, 2010.

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32

Haslberger, Alexander G., a cura di. Advances in Precision Nutrition, Personalization and Healthy Aging. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10153-3.

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33

Constantinos, Mourlas, e Germanakos Panagiotis, a cura di. Intelligent user interfaces: Adaptation and personalization systems and technologies. Hershey, PA: Information Science Reference, 2008.

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34

Sabelli, Hector C. Personalization: A new vision for the millennium : three essays. [Chicago, IL]: Society for the Advancement of Clinical Philosphy, 1990.

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35

Rahat, Gideon, e Ofer Kenig. Political Personalization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808008.003.0006.

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Abstract (sommario):
The chapter lays down the conceptual and theoretical basis for the analysis of political personalization from a cross-national perspective. It proposes a definition of political personalization and a typology of its types—institutional, media, and behavioral—and its subtypes—personalization of governmental and nongovernmental institutions; of controlled and uncontrolled media; and of the behavior of politicians and voters. It looks closely at the core meaning of the proposed definition, at its broadness, and at the implications of perceiving personalization as a process. The chapter also examines, on the basis of the research literature, the general causes of political personalization—party change, mediatization, individualization—and the relationships between its different types.
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36

Jeevan, V. K. J. Library Personalization. Ess Ess Publication, 2007.

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37

Mandai, Masaki. Personalization in Gynecologic Oncology. Springer, 2022.

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38

Rahat, Gideon, e Ofer Kenig. Indicators of Political Personalization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808008.003.0007.

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Abstract (sommario):
Ten indicators of political personalization, covering all of its types and subtypes, are presented in this chapter. The analysis starts with the institutional personalization of both governmental (electoral systems and executives) and nongovernmental institutions (leadership selection and candidate selection in political parties). It then turns to indicators of media personalization, of both the uncontrolled (news coverage of politics) and the controlled type (unmediated messages). Finally, the chapter looks at indicators of personalization in the behavior of politicians (legislators’ behavior) and of voters. The logic and significance of each indicator is examined, as well as its advantages and limitations; and trends developed over time are presented country by country. Potential indicators that are not used are also mentioned and their exclusion is explained.
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39

Mcallister, Ian. The Personalization of Politics. Oxford University Press, 2007. http://dx.doi.org/10.1093/oxfordhb/9780199270125.003.0030.

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40

Redbooks, IBM. Websphere Personalization Solutions Guide. Ibm, 2000.

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41

Walcher, Dominik, e Frank Piller. Leading Mass Customization & Personalization. Lulu Press, Inc., 2018.

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42

Rodney, Seph. Personalization of the Museum Visit. Taylor & Francis Group, 2020.

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43

Rahat, Gideon, e Ofer Kenig. Party Change and Political Personalization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808008.003.0010.

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Abstract (sommario):
Scholars tend to see the relationship between parties and personalization as a zero-sum game: when one declines, the other is expected to rise. Yet, while scholars of political personalization regard party decline as the starting point of their story, for scholars of party change personalization is only one of the possible outcomes of party decline. These two perspectives are critically examined here. Then the chapter surveys Wattenberg’s works, the only scholar who accorded the two phenomena equal weight. Next the challenges encountered by this common representation of the relationship between party change and political personalization as a zero-sum game are examined. The chapter ends by reviewing the issue of the causal direction of this relationship.
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44

Rahat, Gideon, e Ofer Kenig. Party Change and Political Personalization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808008.003.0011.

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Abstract (sommario):
The chapter presents an empirical cross-national analysis of the relationship between the two processes of party change and political personalization. It demonstrates that there is indeed a moderate negative correlation between partyness and personalization when we focus on what happens off-line in the more veteran democracies. It also explains why, in some cases, partyness and personalization will not be in zero-sum relationships. It then turns to the question of the causal direction of this relationship: does party decline cause personalization, or is it the other way round? While it makes sense that the two should interact, our argument is that decline in partyness occurred first and was in fact one of the causes of personalization.
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45

Uchyigit, Gulden, e Matthew Y. Ma. Personalization Techniques and Recommender Systems. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/6788.

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46

Discrimination Does Not Equal Personalization. United States: University of California, 2018. http://dx.doi.org/10.4135/9781529795950.

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47

Powell, Jason L. Social Work, Performativity and Personalization. Nova Science Publishers, Incorporated, 2013.

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48

Personalization of the Museum Visit. Taylor & Francis Group, 2019.

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49

Bamshad Mobasher,Sarabjot Singh Anand. Intelligent Techniques for Web Personalization. Springer, 2008.

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50

Fanelli, Anna Maria, e Giovanna Castellano. Web Personalization in Intelligent Environments. Springer Berlin / Heidelberg, 2012.

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