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Mobile Commerce - Personalized Mobile Advertising Application Using Bayesian Networks - Xu Jingjun
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Xu Jingjun:
Mobile Commerce - Personalized Mobile Advertising Application Using Bayesian Networks - Taschenbuch

2009, ISBN: 9783639184983

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], Advances in wireless technology increase the number of mobile device users and give pace to the rapid development of mobile commerce conducted with these devices. Empowered by the Web s interactive and quick-response capabilities, one-to-one mobile marketing is a very promising direct marketing channel. However, the success of mobile commerce largely depends on whether personalization can be utilized to deliver highly personalized and context sensitive information to mobile clients. To realize the personalization function in mobile advertising, Bayesian Network-based user-modeling technique is adopted. We propose that context, content, and user preferences are the important components that can be utilized to achieve personalization effect in mobile advertising application. The collected data of user information from the empirical study is used as prior probabilities for the Bayesian network. The personalized Bayesian Network-based prototype consists of a user model, a context model, a content component and a matching engine to deliver more relevant advertisements to customers through mobile devices., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 136, [GW: 190g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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Mobile Commerce - Personalized Mobile Advertising Application Using Bayesian Networks
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Mobile Commerce - Personalized Mobile Advertising Application Using Bayesian Networks - Taschenbuch

2009, ISBN: 9783639184983

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], Advances in wireless technology increase the number of mobile device users and give pace to the rapid development of mobile commerce conducted with these devices. Empowered by the Web s interactive and quick-response capabilities, one-to-one mobile marketing is a very promising direct marketing channel. However, the success of mobile commerce largely depends on whether personalization can be utilized to deliver highly personalized and context sensitive information to mobile clients. To realize the personalization function in mobile advertising, Bayesian Network-based user-modeling technique is adopted. We propose that context, content, and user preferences are the important components that can be utilized to achieve personalization effect in mobile advertising application. The collected data of user information from the empirical study is used as prior probabilities for the Bayesian network. The personalized Bayesian Network-based prototype consists of a user model, a context model, a content component and a matching engine to deliver more relevant advertisements to customers through mobile devices., [SC: 0.00], Neuware, gewerbliches Angebot, [GW: 190g]

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Mobile Commerce - Xu Jingjun
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Mobile Commerce - neues Buch

ISBN: 9783639184983

ID: af53949af49e891cb0fcc99b352a4256

Advances in wireless technology increase the number of mobile device users and give pace to the rapid development of mobile commerce conducted with these devices. Empowered by the Web s interactive and quick-response capabilities, one-to-one mobile marketing is a very promising direct marketing channel. However, the success of mobile commerce largely depends on whether personalization can be utilized to deliver highly personalized and context sensitive information to mobile clients. To realize the personalization function in mobile advertising, Bayesian Network-based user-modeling technique is adopted. We propose that context, content, and user preferences are the important components that can be utilized to achieve personalization effect in mobile advertising application. The collected data of user information from the empirical study is used as prior probabilities for the Bayesian network. The personalized Bayesian Network-based prototype consists of a user model, a context model, a content component and a matching engine to deliver more relevant advertisements to customers through mobile devices. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Mobile Commerce - Xu Jingjun
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Xu Jingjun:
Mobile Commerce - Taschenbuch

2009, ISBN: 363918498X

ID: 4016325481

[EAN: 9783639184983], Neubuch, [PU: Vdm Verlag Dr. Müller Jul 2009], Computers & the Internet|Information Technology, - Advances in wireless technology increase the number of mobile device users and give pace to the rapid development of mobile commerce conducted with these devices. Empowered by the Web s interactive and quick-response capabilities, one-to-one mobile marketing is a very promising direct marketing channel. However, the success of mobile commerce largely depends on whether personalization can be utilized to deliver highly personalized and context sensitive information to mobile clients. To realize the personalization function in mobile advertising, Bayesian Network-based user-modeling technique is adopted. We propose that context, content, and user preferences are the important components that can be utilized to achieve personalization effect in mobile advertising application. The collected data of user information from the empirical study is used as prior probabilities for the Bayesian network. The personalized Bayesian Network-based prototype consists of a user model, a context model, a content component and a matching engine to deliver more relevant advertisements to customers through mobile devices. 136 pp. Englisch

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ISBN: 363918498X

ID: 9783639184983

Advances in wireless technology increase the number of mobile device users and give pace to the rapid development of mobile commerce conducted with these devices. Empowered by the Web's interactive and quick-response capabilities, one-to-one mobile marketing is a very promising direct marketing channel. However, the success of mobile commerce largely depends on whether personalization can be utilized to deliver highly personalized and context sensitive information to mobile clients. To realize the personalization function in mobile advertising, Bayesian Network-based user-modeling technique is adopted. We propose that context, content, and user preferences are the important components that can be utilized to achieve personalization effect in mobile adverti

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Mobile Commerce
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Advances in wireless technology increase the number of mobile device users and give pace to the rapid development of mobile commerce conducted with these devices. Empowered by the Web's interactive and quick-response capabilities, one-to-one mobile marketing is a very promising direct marketing channel. However, the success of mobile commerce largely depends on whether personalization can be utilized to deliver highly personalized and context sensitive information to mobile clients. To realize the personalization function in mobile advertising, Bayesian Network-based user-modeling technique is adopted. We propose that context, content, and user preferences are the important components that can be utilized to achieve personalization effect in mobile advertising application. The collected data of user information from the empirical study is used as prior probabilities for the Bayesian network. The personalized Bayesian Network-based prototype consists of a user model, a context model, a content component and a matching engine to deliver more relevant advertisements to customers through mobile devices.

Detailangaben zum Buch - Mobile Commerce


EAN (ISBN-13): 9783639184983
ISBN (ISBN-10): 363918498X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: VDM Verlag
136 Seiten
Gewicht: 0,223 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 23.03.2010 19:13:28
Buch zuletzt gefunden am 28.11.2017 12:40:50
ISBN/EAN: 9783639184983

ISBN - alternative Schreibweisen:
3-639-18498-X, 978-3-639-18498-3


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