A PERSONALIZED FORUM ENVIRONMENT

Anna Stavrianou, Magdalini Eirinaki

Abstract

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.

References

  1. Adar, E., Zhang, L., Adamic, L., and Lukose, R. (2004). Implicit structure and the dynamics of blogspace. In Workshop on the Blogging Ecosystem, WWW.
  2. Adomavicius, G. and Tuzhilin, A. (2005). Towards the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6):734-749.
  3. Agarwal, N. and Liu, H. (2008). Blogosphere: research issues, tools, and applications. SIGKDD Explor. Newsl., 10(1):18-31.
  4. Agarwal, N., Liu, H., Tang, L., and Yu, P. S. (2008). Identifying the influential bloggers in a community. In WSDM.
  5. Ding, X. and Liu, B. (2007). The utility of linguistic rules in opinion mining. In SIGIR-07.
  6. Domingos, P. and Richardson, M. (2001). Mining the network value of customers. In SIGKDD, pages 57-66.
  7. Estévez, P. A., Vera, P. A., and Saito, K. (2007). Selecting the most influential nodes in social networks. In IJCNN.
  8. Ghose, A., Ipeirotis, P., and Sundararajan, A. (2007). Opinion mining using econometrics: a case study on reputation systems. In ACL.
  9. Golbeck, J. (2005). Computing and applying trust in webbased social networks. PhD Dissertation.
  10. Golbeck, J. (2006). Trust on the world wide web: a survey. Found. Trends Web Sci., 1(2):131-197.
  11. Guha, R., Kumar, R., Raghavan, P., and Tomkins, A. (2004). Propagation of trust and distrust. In WWW.
  12. Guy, I., Zwerdling, N., Carmel, D., Ronen, I., Uziel, E., Yogev, S., and Ofek-Koifman, S. (2009). Personalized recommendation of social software items based on social relations. In RecSys, pages 53-60.
  13. Herlocker, J., Konstan, J. A., Terveen, L., and Riedl, J. (2004). Evaluating collaborative filtering recommender systems. ACM TOIS.
  14. Hu, M. and Liu, B. (2004). Mining and summarizing customer reviews. In SIGKDD, pages 168-177.
  15. Kale, A., Kolari, P., Java, A., Finin, T., and Joshi, A. (2007). Modeling trust and influence in the blogosphere using link polarity. In ICWSM 2007.
  16. Kempe, D., Kleinberg, J., and Tardos, E. (2003). Maximizing the spread of influence through a social network. In SIGKDD, pages 137-146.
  17. Kim, E. and Han, S. S. (2009). An analytical way to find influencers on social networks and validate their effects in disseminating social games. In ASONAM 2009.
  18. Kimura, M., Yamakawa, K., Saito, K., and Motoda, H. (2008). Community analysis of influential nodes for information diffusion on a social network. In IJCNN.
  19. Konstas, I., Stathopoulos, V., and Jose, J. M. (2009). On social networks and collaborative recommendation. In SIGIR, pages 195-202.
  20. Kritikopoulos, A., Sideri, M., and Varlamis, I. (2006). Blogrank: ranking blogs based on connectivity and similarity features. In AAA-IDEA'06. ACM.
  21. Kunegis, J., Lommatzsch, A., and Bauckhage, C. (2009). The slashdot zoo: mining a social network with negative edges. In WWW, pages 741-750.
  22. Leskovec, J., Huttenlocher, D. P., and Kleinberg, J. M. (2010). Predicting positive and negative links in online social networks. In WWW, pages 641-650.
  23. Massa, P. and Avesani, P. (2007). Trust-aware recommender systems. In RecSys, pages 17-24.
  24. Mooney, R. and Bunescu, R. (2006). Mining knowledge from text using information extraction. SIGKDD Explor. Newsl., 7(1):3-10.
  25. Nakajima, S., Tatemura, J., Hino, Y., Hara, Y., and Tanaka, K. (2005). Discovering important bloggers based on analyzing blog threads. In Workshop on the Blogging Ecosystem: Aggregation, Analysis and Dynamics.
  26. O'Donovan, J. (2009). Capturing trust in social web applications. In Golbeck, J., editor, Computing with Social Trust, chapter 9. Springer London.
  27. Song, X., Chi, Y., Hino, K., and Tseng, B. (2007). Identifying opinion leaders in the blogosphere. In CIKM.
  28. Stavrianou, A. (2010). Modeling and mining of web discussions. PhD Dissertation.
  29. Turney, P. and Littman, M. (2003). Measuring praise and critisism: inference of semantic orientation from association. ACM TOIS, 21(4):315-146.
  30. Varlamis, I., Eirinaki, M., and Louta, M. (2010). A study on social network metrics and their application in trust networks. In ASONAM 2010.
  31. Weng, J., Lim, E.-P., Jiang, J., and He, Q. (2010). Twitterrank: Finding topic-sensitive influential twitterers. In WSDM.
  32. Zhang, J., Ackerman, M., and Adamic, L. (2007). Expertise networks in online communities: Structure and algorithms. In WWW, pages 221-230.
  33. Ziegler, C.-N. (2009). On propagating interpersonal trust in social networks. In Computing with Social Trust. Springer.
Download


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

@conference{webist11,
author={Anna Stavrianou and Magdalini Eirinaki},
title={A PERSONALIZED FORUM ENVIRONMENT},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2011},
pages={360-365},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003400303600365},
isbn={978-989-8425-51-5},
}


in EndNote Style

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