'Personalized recommendations' diaporamas de présentation

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The dynamics of viral marketing

The dynamics of viral marketing

The dynamics of viral marketing. Lada Adamic. MOCHI November 9, 2005. Collaborators Jure Leskovec (CMU) Bernardo Huberman (HP Labs) Outline prior work on viral marketing & information diffusion incentivised viral marketing cascades and stars network effects product characteristics

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776 views • 50 slides
The dynamics of viral marketing

The dynamics of viral marketing

The dynamics of viral marketing. Lada Adamic. MOCHI November 9, 2005. Collaborators Jure Leskovec (CMU) Bernardo Huberman (HP Labs) Outline prior work on viral marketing & information diffusion incentivised viral marketing cascades and stars network effects product characteristics

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503 views • 50 slides
The dynamics of viral marketing

The dynamics of viral marketing

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554 views • 37 slides
Recommendation in Personal Devices and Accounts

Recommendation in Personal Devices and Accounts

Contextual Recommendation in Multi-User Devices Raz Nissim, Michal Aharon, Eshcar Hillel, Amit Kagian, Ronny Lempel, Hayim Makabee. Recommendation in Personal Devices and Accounts. Challenge: Recommendations in Shared Accounts and Devices.

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477 views • 29 slides
The dynamics of viral marketing

The dynamics of viral marketing

School of Information. University of Michigan. The dynamics of viral marketing. Jure Leskovec, Carnegie Mellon University Lada Adamic, University of Michigan Bernardo Huberman, HP Labs. Motivation for viral marketing.

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371 views • 24 slides
Personalized Recommender Systems in e-Commerce and m-Commerce: A Comparative Study

Personalized Recommender Systems in e-Commerce and m-Commerce: A Comparative Study

Personalized Recommender Systems in e-Commerce and m-Commerce: A Comparative Study. Azene Zenebe, Ant Ozok and Anthony F. Norcio Department of Information Systems University of Maryland Baltimore County (UMBC) Baltimore, MD 21250 USA. Outline. Introduction m-commerce verse e-commerce

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513 views • 21 slides
Personalized Recommender Systems in e-Commerce and m-Commerce: A Comparative Study

Personalized Recommender Systems in e-Commerce and m-Commerce: A Comparative Study

Personalized Recommender Systems in e-Commerce and m-Commerce: A Comparative Study. Azene Zenebe, Ant Ozok and Anthony F. Norcio Department of Information Systems University of Maryland Baltimore County (UMBC) Baltimore, MD 21250 USA. Outline. Introduction m-commerce verse e-commerce

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215 views • 21 slides
Next Best Offer

Next Best Offer

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640 views • 20 slides

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