A hybrid recommender system for finding relevant users in open source forums

2010 3rd International Workshop on Managing Requirements Knowledge, MaRK'10

Volumn , Issue , 2010, Pages 41-50

  Castro Herrera, Carlos ^a  

^a DEPAUL UNIVERSITY   (United States)

Author keywords

Collaborative filtering; Content based recommenders; Online forums; Open source; Recommender systems; Relevant users; Requirements process; Unanswered threads

Indexed keywords

COLLABORATIVE FILTERING; CONTENT-BASED; ONLINE FORUMS; OPEN SOURCES; RECOMMENDER SYSTEMS; RELEVANT USERS; REQUIREMENTS PROCESS; UNANSWERED THREADS;

ONLINE SYSTEMS; SIGNAL FILTERING AND PREDICTION;

OPEN SYSTEMS;

EID: 78650439813     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MARK.2010.5623811     Document Type: Conference Paper

References (22)

1. "Open Source Initiative - The Open Source Definition."
2. J. Cleland-Huang, H. Dumitru, C. Duan, and C. Castro-Herrera, "Automated support for managing feature requests in open forums," Commun. ACM, vol. 52, 2009, pp. 68-74.
3. R. Burke, "Hybrid Recommender Systems: Survey and Experiments," User Modeling and User-Adapted Interaction, vol. 12, 2002, pp. 331-370.
4. M. Van Antwerp and G. Madey, "Advances in the SourceForge Research Data Archive (SRDA)," Fourth International Conference on Open Source Systems, IFIP 2.13 (WoPDaSD 2008), Milan, Italy: 2008.
5. S. Robertson and J. Robertson, Mastering the Requirements Process, Addison-Wesley Professional, 1999.
6. H. Sharp, A. Finkelstein, and G. Galal, "Stakeholder identification in the requirements engineering process," Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99, Florence, Italy: 1999, pp. 387-391.
7. S.L. Lim, D. Quercia, and A. Finkelstein, "StakeNet: using social networks to analyse the stakeholders of large-scale software projects," ACM/IEEE 32nd International Conference on Software Engineering, Cape Town, South Africa: 2010.
8. S. Minto and G.C. Murphy, "Recommending Emergent Teams," Proceedings of the Fourth International Workshop on Mining Software Repositories, IEEE Computer Society, 2007, p. 5.
9. P.F. Xiang, A.T.T. Ying, P. Cheng, Y.B. Dang, K. Ehrlich, M.E. Helander, P.M. Matchen, A. Empere, P.L. Tarr, C. Williams, and S.X. Yang, "Ensemble: a recommendation tool for promoting communication in software teams," Proceedings of the 2008 international workshop on Recommendation systems for software engineering, Atlanta, Georgia: ACM, 2008, pp. 1-1.
10. C. Castro-Herrera, J. Cleland-Huang, and B. Mobasher, "Enhancing Stakeholder Profiles to Improve Recommendations in Online Requirements Elicitation," Requirements Engineering, IEEE International Conference on, Los Alamitos, CA, USA: IEEE Computer Society, 2009, pp. 37-46.
11. C. Castro-Herrera, J. Cleland-Huang, and B. Mobasher, "A recommender system for dynamically evolving online forums," Proceedings of the third ACM conference on Recommender systems, New York, New York, USA: ACM, 2009, pp. 213-216.
12. C. Castro-Herrera and J. Cleland-Huang, "A Machine Learning Approach for Identifying Expert Stakeholders," Second International Workshop on Managing Requirements Knowledge (MaRK'09), Atlanta, Georgia, USA: IEEE Computer Society, 2009, p. 5.
13. M. Pazzani and D. Billsus, "Content-Based Recommendation Systems," The Adaptive Web, 2007, pp. 325-341.
14. J. Schafer, D. Frankowski, J. Herlocker, and S. Sen, "Collaborative Filtering Recommender Systems," The Adaptive Web, 2007, pp. 324, 291.
15. C. Duan, J. Cleland-Huang, and B. Mobasher, "A consensus based approach to constrained clustering of software requirements," Proceeding of the 17th ACM conference on Information and knowledge management, Napa Valley, California, USA: ACM, 2008, pp. 1073-1082.
16. F. Can and E.A. Ozkarahan, "Concepts and effectiveness of the cover-coefficient-based clustering methodology for text databases," ACM Trans. Database Syst., vol. 15, 1990, pp. 483-517.
17. E. Spertus, M. Sahami, and O. Buyukkokten, "Evaluating similarity measures: a large-scale study in the orkut social network," Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, Chicago, Illinois, USA: ACM, 2005, pp. 678-684.
18. Y. Koren, R. Bell, and C. Volinsky, "Matrix Factorization Techniques for Recommender Systems," Computer, vol. 42, 2009, pp. 30-37.
19. G. Takács, I. Pilászy, B. Németh, and D. Tikk, "Matrix factorization and neighbor based algorithms for the netflix prize problem," Proceedings of the 2008 ACM conference on Recommender systems, Lausanne, Switzerland: ACM, 2008, pp. 267-274.
20. J.L. Herlocker, J.A. Konstan, L.G. Terveen, and J.T. Riedl, "Evaluating collaborative filtering recommender systems," ACM Trans. Inf. Syst., vol. 22, 2004, pp. 5-53.
21. C.D. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval, Cambridge University Press, 2008.
22. M. Buckland and F. Gey, "The relationship between recall and precision," J. Am. Soc. Inf. Sci., vol. 45, 1994, pp. 12-19.