Folksonomy based socially-aware recommendation of scholarly papers for conference participants

WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

Volumn , Issue , 2014, Pages 781-786

  Xia, Feng ^a   Asabere, Nana Yaw ^a   Liu, Haifeng ^a   Deonauth, Nakema ^a   Li, Fengqi ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Folksonomies; Group profile; Paper recommendation; Smart conference; Social awareness

Indexed keywords

SEMANTIC WEB;

FOLKSONOMIES; GROUP PROFILES; PAPER RECOMMENDATIONS; SMART CONFERENCE; SOCIAL AWARENESS;

WORLD WIDE WEB;

EID: 84990927812     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2567948.2579239     Document Type: Conference Paper

References (19)

1. Verbert, K., Manouselis, N., Ochoa, Wolpers M., Drachsler, H., Bosnic, I., and Duval, E. Context-Aware Recommender Systems for Learning: A Survey and Future Challenges. IEEE Transactions on Learning Technologies, 5:4, 318-335. 2012.
2. Vassileva, J. Toward Social Learning Environments. IEEE Transactions on Learning Technologies, 1:4, 199-214. 2008.
3. Sen, S., Vig, J., and Riedl, J., Tagommenders: Connecting Users to Items through Tags. In Proc. of the 18th ACM International Conference on World Wide Web (WWW), 671- 680. 2009.
4. Liang, Y., Li, Q. and Qian, T. Finding Relevant Papers Based on Citation Relations. Web-Age Information Management, Springer Berlin Heidelberg, 403-414. 2011.
5. Huynh, T., Hoang, K., Doc, L., Tran, H., Luong, H. and Gauch, S. Scientific Publication Recommendations Based on Collaborative Citation Networks. In Proc. of the IEEE International Conference on Collaboration Technologies and Systems (CTS), Denver, USA, 316-321. 2012.
6. Wu, J., Shi, Y. and Guo, C. A Resource Recommendation Method Based on User Taste Diffusion Model in Folksonomies, " Knowledge Science Engineering and Management, Springer Berlin Heidelberg, 112-123. 2011.
7. Jomsri, P., Sanguansintukul, S. and Choochaiwattana, W. A Framework for Tag-Based Research Paper Recommender System: An IR Approach. In Proc. of the 24th IEEE International Conference on Advanced Inform. Network and Applications Workshops, Perth, Western Australia, 103-108. 2010.
8. Pan, C. and Li, W. Research Paper Recommendation with Topic Analysis, " in Proc. of the IEEE International Conference on Computer Design and Applications (ICCDA), Qinhuangdao, China, 264-268. 2010.
9. Jiang, Y., Jia, A., Feng, Y. and Zhao, D. Recommending Academic Papers via Users' Reading Purposes. In Proc. of the 6th ACM International Conference on Recommender Systems, Dublin, Ireland, 241 - 244. 2012.
10. Pham, M. C., Kovachev, D., Cao, Y., Mbogos, G. M. and Klamma, R. Enhancing Academic Event Participation with Context-aware and Social Recommendations. In Proc. of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, 464-471. 2012.
11. Conry, D., Koren, Y. and Ramakrishnan, N. Recommender Systems for the Conference Paper Assignment Problem. In Proc. of the 3rd ACM International Conference on Recommender Systems, New York, USA, 357-360. 2009.
12. Vastardis, N. and Yang, K. Mobile Social Networks: Architectures, Social Properties and Key Research Challenges. IEEE Communications Surveys & Tutorials, 15:3, 1-17. 2013.
13. Shin, C. and Woo, W. Socially-Aware TV Program Recommender for Multiple Viewers. IEEE Transactions on Consumer Electronics, 55:2, 927-932. 2009.
14. Schafer, J.B., Frankowski, D., Herlocker, J. and Sen, S. Collaborative Filtering Recommender Systems. Lecture Notes in Computer Science, 4321: 291-324. 2007.
15. del Olmo, F. H., and Gaudioso, E. Evaluation of Recommender Systems: A New Approach, " Expert Syst. with Applicat., 35: 3, 790-804. 2008.
16. Ziberna, A. and Vehovar, V. Using Social Network to Predict the Behavior of Active Members of Online Communities. IEEE International Conference on Advances in Social Network Analysis and Mining (ASONAM), Athens, Greece, 119-124. 2009.
17. Ye, M., Yin, P., Lee, W.C. and Lee, D.L. Exploiting Geographical Influence for Collaborative Point-of-Interest Recommendation. In Proc. of the 34th ACM SIGIR International Conference on Research and Development in Information Retrieval, Beijing, China, 325-334. 2011.
18. Gartrell, M., Xing, X., Lv, Q., Beach, A., Han, R., Mishra, S. and Seada, K. Enhancing Group Recommendation by Incorporating Social Relationship Interactions. In Proc. of the 16thACM International Conference on Supporting Group Work, Florida, USA, 97-106. 2010.
19. Peng, J., Zeng, D.D., Zhao, H. and, Wang, F.Y. Collaborative Filtering in Social Tagging Systems Based on Joint Item-Tag Recommendations. In Proc. of the 19thACM International Conference on Knowledge and Information Management, Toronto, Ontario, Canada, 809-818. 2010.