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Differential Adaptive Diffusion: Understanding Diversity and Learning Whom to Trust in Viral Marketing
Published on Aug 18, 20113824 Views
Viral marketing mechanisms use the existing social network between customers to spread information about products and encourage product adoption. Existing viral marketing models focus on the dynami
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Chapter list
Differential Adaptive Diffusion: Understanding Diversity and Learning Whom to Trust in Viral Marketing00:00
Introduction00:16
Motivation (1)00:48
Motivation (2)03:53
Motivation (3)04:36
Background04:48
Objectives05:37
Outline (1)05:54
Case Study: Digg.com (1)06:19
Case Study: Digg.com (2)06:43
Dataset07:10
Observation 1: User Submissions vs. Diggs (1)07:32
Observation 1: User Submissions vs. Diggs (2)07:56
Observation 1: User Submissions vs. Diggs (3)08:10
Characterizing User Submissions (1)08:33
Characterizing User Submissions (2)08:50
Characterizing User Submissions (3)09:06
Characterizing User Submissions (4)09:12
Observation 2: Effect of Homophilyon Adoption (1)09:19
Observation 2: Effect of Homophilyon Adoption (2)10:15
Outline (2)10:56
Differential Adaptive Diffusion11:04
Kernel Functions11:49
Experimental Evaluation12:27
Baselines12:43
Results13:27
Outline (3)13:52
Adaptive Viral Marketing14:00
Adaptive Rewards14:38
Experimental Setup (1)15:19
Experimental Setup (2)15:54
Fully Observable16:26
Learning Preferences17:38
Effect of Spammers (1)18:08
Effect of Spammers (2)18:24
Outline (4)18:47
Conclusion18:49
Future Work19:10
Thank You19:43