Posts Tagged trust-based recommendation systems

Idea evaluation

CyberTube Recommendation System logoIn previous posts (literature survey, existing applications) devoted to a field of interests’ investigation, we published an overview of existing applications and researches related to our initial idea. The survey showed that the demand in the web market and research community for recommendation systems, has led to its mass production in the past few years. Some of these suggestion tools are quite successful (Jinni, Filmaster Blog, Faves for Facebook, etc.) as they provide rich functionality and a good quality of recommendations.  However, in this sketch we will differentiate our idea from existing solutions and also outline strengths of the proposed system.

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Literature survey (part 1)

Literature surveyOur area of interests is focused on geo-based recommendation systems which exploit relations between users in social networks. In order to evaluate, adjust and extend our initial idea we performed a survey looking for both commercial products and academic researchers related to these topics. However, this post is devoted entirely to academic works. In our investigation we focused, first of all, on location-based recommendation systems on top of social networks, suggestion algorithms exploiting social network relations and the level of trust in recommendation systems and trust factors. Furthermore, we considered materials about the level of anonymity and privacy issues in social networks, legal issues with user-generated content,  social and economic impact of recommendation systems.

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