Towards persuasive social recommendation

Persuasive product recommendation

Online shops and B2C sites in diverse domains such as ’quality & taste’, consumer electronics or e-tourism require on the one side persuasive Web presentation and on the other side deep product knowledge. In that context recommender applications may help to create an enjoyable shopping experience for online users. The Advisor Suite framework is a knowledge-based conversational recommender syste...

Towards Effective Recommendation of Social Data across Social Networking Sites

Users of Social Networking Sites (SNSs) like Facebook, MySpace, LinkedIn, or Twitter, are often overwhelmed by the huge amount of social data (friends’ updates and other activities). We propose using machine learning techniques to learn preferences of users and generate personalized recommendations. We apply four different machine learning techniques on previously rated activities and friends t...

Towards Designing Persuasive Ambient Visualization

This paper discusses an alternative application area for ambient information systems, coined as ‘persuasive visualization’. It investigates the recent evolution of ambient displays, from simply aiming to inform people about data patterns towards increasing awareness of themes underlying the data. Accordingly, this paper proposes the potential of ambient display techniques to encourage users to ...

Towards Context-Aware Social Recommendation via Trust Networks

Towards Social Recommendation based on Probabilistic Matrix Factorization

As an important tool to help users filter Internet information, recommender system has played a very important role wherever in academia or in industrial area. During the past years, different recommendation approaches based on the social network have been proposed with the rapid development of online social networks. Different from the traditional ones which assume all the users are independen...