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F Wang B. Chen. and Z miao 5. Biswas, H.K., Hasan, M. M. Using Publications and Domain Knowledge to Build search Profiles: an Application in Automatic Reviewer Assignment. In: 2007 Intermat Conference on Information and Communication Technology, pp 82-86(2007) 6. Cameron, D, Aleman-Meza, B, Arpinar, B. Collecting Expertise of Researchers for Find- ing Relevant Experts in a Peer-Review Setting. In: First International ExpertFinder Work 7. Caron, G, Hansen, P, Jaumard. B. The assignment problem with seniority and job prior- ity constraints. Operations Research 47(3), 449-454(1999) 8. Carter, M.W., Tovey, C.A. When is the classroom assignment problem hard? Operations Research40(1),S28-S39(1992) and Review Model is Killing Research and Wasting Your Moneythe Current Publication 9. Casati, F, Giunchiglia, F, Marchese, M. Publish and perish: Why http://www.acmorg/ubiquity/views/v8103_fabio.html 10. Cohen, P R, Kjeldsen, R. Information retrieval by constrained spreading activation in se- mantic network Information Processing Management 23(4), 255-268(1987) w: Web-collaborative Filtering: Recommending Music by Crawling the Web. Computer Networks 33(1-6), 685-698(2000) 12. Cook, W.D., Golany, B, Kress, M, Penn, M., Raviv, T: Optimal Allocation of P to Reviewers to Facilitate Effective Ranking. Management Science 51(4), 655-661 13. Dell'Amico, M, Martello, S: The k-cardinality assignment problem. Discrete mathematics76(1-3),103-121(1997) 14. Dumais, S, Nielsen, J: Automating the assignment of submitted manuscripts to reviewers. Research and Development in information Retrieval, 233-244( 1992) 15. Geller, J: How JCAI 1999 can prove the value of Al by using Al. In: 15th International Joint Conference on Artificial Intelligence, pp 55-58(1997) 16. Geller, J, Scherl, R: Challenge: Technology for Automated Reviewer Selection(1997), http://njit.edu/-geller/finalchall.ps1997 17. Goldsmith, J, Solan, R.H.: The Al Conference Paper Assignment Problem http://www.cs.uic.edu/-sloan/my-papers/godlsmithsloanpaperassignment.pdf 18. Gupta, D, Digiovanni, M, Narita, H, Goldberg, K. Jester 2.0: A new Lineartime Col- Jokes. In: Wo at ACM SIGIR 1999(1999 19. Hansen, P, Wendell, R.E.: A note on airline commuting Interfaces 11(12),85-87(1982) 20. Hartvigsen, D, Wei, J.C., Czuchlewski, R: The Conference Paper-Reviewer Assignment Problem. Decision Sciences 30(3), 865-876(1999) 1. Hettich, S, Pazzani, M.J.: Mining for Proposal Reviewers: Lessons Learned at the Na- tional science foundation ln: 12th acm sigKdd international conference on Knowl- Ige discovery and data mining, pp. 862-871. ACM Press, New York(2006) 22. Hill, W, Stead, L, Rosenstein, M., Furnas, G. Recommending and evaluating Choices in a Virtual Community of Use. In: SIGCHI conference on Human factors in computing sys- ems, pp 23. Hofmann, T: Probabilistic Latent Semantic Analysis. In: 15th Conference on Uncertaint in Artificial Intelligence, pp 289-296(1999) 24. Janak, S.L., Taylor, M.s., Floudas, C.A., Burka, M, Mountzizris, T.J.: Novel and Effec tive Integer Optimization Approach for the NSF Panel-Assignment Problem: A Multire source and Preference-Constrained Generalized Assignment Problem. Ind. Eng. Chem. Res.45(1),258-265(2006) 25. Klingman, D, Phillips, N: Topological and computational aspects of preemptive multicri- teria military personnel assignment problems. Manage. Sci. 30(1), 1362-1375(1984726 F. Wang, B. Chen, and Z. Miao 5. Biswas, H.K., Hasan, M.M.: Using Publications and Domain Knowledge to Build Re￾search Profiles: an Application in Automatic Reviewer Assignment. In: 2007 International Conference on Information and Communication Technology, pp. 82–86 (2007) 6. Cameron, D., Aleman-Meza, B., Arpinar, B.: Collecting Expertise of Researchers for Find￾ing Relevant Experts in a Peer-Review Setting. In: First International ExpertFinder Work￾shop (2007) 7. Caron, G., Hansen, P., Jaumard, B.: The assignment problem with seniority and job prior￾ity constraints. Operations Research 47(3), 449–454 (1999) 8. Carter, M.W., Tovey, C.A.: When is the classroom assignment problem hard? Operations Research 40(1), S28–S39 (1992) 9. Casati, F., Giunchiglia, F., Marchese, M.: Publish and perish: Why the Current Publication and Review Model is Killing Research and Wasting Your Money, http://www.acm.org/ubiquity/views/v8i03_fabio.html 10. Cohen, P.R., Kjeldsen, R.: Information retrieval by constrained spreading activation in se￾mantic network. Information Processing & Management 23(4), 255–268 (1987) 11. Cohen, W., Fan, W.: Web-collaborative Filtering: Recommending Music by Crawling the Web. Computer Networks 33(1-6), 685–698 (2000) 12. Cook, W.D., Golany, B., Kress, M., Penn, M., Raviv, T.: Optimal Allocation of Proposals to Reviewers to Facilitate Effective Ranking. Management Science 51(4), 655–661 (2005) 13. Dell’Amico, M., Martello, S.: The k-cardinality assignment problem. Discrete Applied Mathematics 76(1-3), 103–121 (1997) 14. Dumais, S., Nielsen, J.: Automating the assignment of submitted manuscripts to reviewers. Research and Development in information Retrieval, 233–244 (1992) 15. Geller, J.: How IJCAI 1999 can prove the value of AI by using AI. In: 15th International Joint Conference on Artificial Intelligence, pp. 55–58 (1997) 16. Geller, J., Scherl, R.: Challenge: Technology for Automated Reviewer Selection (1997), http://njit.edu/~geller/finalchall.ps1997 17. Goldsmith, J., Solan, R.H.: The AI Conference Paper Assignment Problem, http://www.cs.uic.edu/~sloan/my-papers/GodlsmithSloanPaperAssignment.pdf 18. Gupta, D., Digiovanni, M., Narita, H., Goldberg, K.: Jester 2.0: A new Lineartime Col￾laborative Filtering Algorithm Applied to Jokes. In: Workshop on Recommender Systems at ACM SIGIR 1999 (1999) 19. Hansen, P., Wendell, R.E.: A note on airline commuting. Interfaces 11(12), 85–87 (1982) 20. Hartvigsen, D., Wei, J.C., Czuchlewski, R.: The Conference Paper-Reviewer Assignment Problem. Decision Sciences 30(3), 865–876 (1999) 21. Hettich, S., Pazzani, M.J.: Mining for Proposal Reviewers: Lessons Learned at the Na￾tional Science Foundation. In: 12th ACM SIGKDD international conference on Knowl￾edge discovery and data mining, pp. 862–871. ACM Press, New York (2006) 22. Hill, W., Stead, L., Rosenstein, M., Furnas, G.: Recommending and Evaluating Choices in a Virtual Community of Use. In: SIGCHI conference on Human factors in computing sys￾tems, pp. 195–201. ACM Press/Addison-Wesley Publishing Co., New York (1995) 23. Hofmann, T.: Probabilistic Latent Semantic Analysis. In: 15th Conference on Uncertainty in Artificial Intelligence, pp. 289–296 (1999) 24. Janak, S.L., Taylor, M.S., Floudas, C.A., Burka, M., Mountzizris, T.J.: Novel and Effec￾tive Integer Optimization Approach for the NSF Panel-Assignment Problem: A Multire￾source and Preference-Constrained Generalized Assignment Problem. Ind. Eng. Chem. Res. 45(1), 258–265 (2006) 25. Klingman, D., Phillips, N.: Topological and computational aspects of preemptive multicri￾teria military personnel assignment problems. Manage. Sci. 30(1), 1362–1375 (1984)
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