Gray Sheep, Influential Users, User Modeling and Recommender System Adoption by Startups
Proceedings of the 10th ACM Conference on Recommender Systems(2016)
摘要
This proposed thesis work explores two research areas in the domain of Recommender Systems [RS] , algorithms and their real world applications. First is related to identification of Gray Sheep [GS] users and Influential Users [IU] in any system using different personality models and also creating psychographic profile of such users. The second part of this work is an empirical study to find out the determinant of RS adoption in Start-ups context of developing nations, by using diffusion of innovation (DOI) theory and Technology-Organization-Environment (TOE) frameworks.
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关键词
Gray Sheep Problem,Social Network Analysis,Big Five,Basic Human Values,Human Needs,User Modeling,Recommender System,Collaborative Filtering,Diffusion of Innovation,Technology - Organization-Environment framework,Startups
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