Anna Stavrianou, Magdalini Eirinaki


Web2.0 has resulted in an increasing popularity of personalized recommender systems, especially in the context of social networking applications. Although there exist design approaches available for such systems, most of them make very explicit assumptions on the application domain as well as on the availability and data types to be used as input. In this position paper, we discuss the requirements and challenges of Forum Recommender Systems. Such systems aim at generating automatically posting recommendations for the different user profiles that deal with a forum. Despite the fact that these systems share characteristics with other social media, they have hardly been explored due to the particularities they present in terms of structure, context and user differences. Here, we discuss the particularities of Forum Recommender Systems and we propose a framework that enables the gathering of profile data and the generation of posting recommendations. The proposed framework can also be adjusted to other social networks.


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Paper Citation

in Harvard Style

Stavrianou A. and Eirinaki M. (2011). A PERSONALIZED FORUM ENVIRONMENT . In Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8425-51-5, pages 360-365. DOI: 10.5220/0003400303600365

in Bibtex Style

author={Anna Stavrianou and Magdalini Eirinaki},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},

in EndNote Style

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
SN - 978-989-8425-51-5
AU - Stavrianou A.
AU - Eirinaki M.
PY - 2011
SP - 360
EP - 365
DO - 10.5220/0003400303600365