Exploiting Social Capital for Recommendation in Social Networks

Exploiting social networks for recommendation in online image sharing systems

xiv Declaration of Authorship xvi Note Regarding URLs xvii

Exploiting Social Networks in Recommendation: a Multi-Domain Comparison

Recommender Systems aim at automatically finding the most useful products or services for a particular user, providing a personalised list of items according to different input and attributes of users and items. State-of-the-art recommender systems are usually based on ratings and implicit feedback given by users about the items. Recently, due to the large number of social systems appearing in ...

Exploiting Social Ties for Search and Recommendation in Online Social Networks - Challenges and Chances

Online social networking is a huge trend. On Facebook or MySpace people connect with their friends or make new friends. They form new (indirect) connections by reading and adopting from other peoples’ blogs or tweets. Similarly, in tagging systems like Delicious or Flickr people share tagged resources with friends or unknown, similar users. Offline social networks have long been studied in soci...

Social Capital in Dynamic Social Networks

Social Capital in Online Social Networks

The problem of social capital in context of the online social networks is presented in the paper. Not only the specific elements, which characterize the single person and influence the individual’s social capital like static social capital, activity component, and social position, but also the ways of stimulation of the social capital are described.