Measuring the Significance of Writing Style for Recommending Where to Publish – A Case Study

1. Sorva, J., V. Karavirta, L. Malmi. A Review of Generic Program Visualization Systems for Introductory Programming Education. – ACM Transactions on Computing Education, Vol. 13, 2013, No 4, p. 15.10.1145/2490822Search in Google Scholar

2. Elvina, E., O. Karnalim, M. Ayub, M. C. Wijanto. Combining Program Visualization with Programming Workspace to Assist Students for Completing Programming Laboratory Task. – Journal of Technology and Science Education, Vol. 8, 2018, No 4, pp. 268-280.10.3926/jotse.420Search in Google Scholar

3. McNamara, D. S., S. A. Crossley, R. D. Roscoe, L. K. Allen, J. Dai. A Hierarchical Classification Approach to Automated Essay Scoring. – Assessing Writing, Vol. 23, 2015, No 1, pp. 35-39.10.1016/j.asw.2014.09.002Search in Google Scholar

4. Karnalim, O. A Low-Level Structure-Based Approach for Detecting Source Code Plagiarism. – IAENG International Journal of Computer Science, Vol. 44, 2017, No 4, pp. 501-522.Search in Google Scholar

5. Wang, D., Y. Liang, D. Xu, X. Feng, R. Guan. A Content-Based Recommender System for Computer Science Publications. – Knowledge-Based Systems, Vol. 157, 2018, No 1, pp. 1-9.10.1016/j.knosys.2018.05.001Search in Google Scholar

6. Beel, J., B. Gipp, S. Langer, C. Breitinger. Research-Paper Recommender Systems: A Literature Survey. – International Journal on Digital Libraries, Vol. 17, 2016, No 4, pp. 305-338.10.1007/s00799-015-0156-0Search in Google Scholar

7. Jonathan, F. C., O. Karnalim. Semi-Supervised Keyphrase Extraction on Scientific Article Using Fact-Based Sentiment. – TELKOMNIKA (Telecommunication Computing Electronics and Control), Vol. 16, 2018, No 4, pp. 1771-1778.10.12928/telkomnika.v16i4.5473Search in Google Scholar

8. Sun, Y., C. L. Giles. Popularity Weighted Ranking for Academic Digital Libraries. – In: Proc. of European Conference on Information Retrieval. Rome, Springer-Verlag, 2007, pp. 605-612.10.1007/978-3-540-71496-5_57Search in Google Scholar

9. Yang, Z., B. D. Davison. Distinguishing Venues by Writing Styles. – In: Proc. of 12th ACM/IEEE-CS Joint Conference on Digital Libraries, ACM, Washington, 2012, pp. 371-372.10.1145/2232817.2232896Search in Google Scholar

10. Yang, Z., B. D. Davison. Venue Recommendation: Submitting Your Paper with Style. – In: Proc. of 11th International Conference on Machine Learning and Applications, IEEE, Boca Raton, 2012, pp. 681-686.10.1109/ICMLA.2012.127Search in Google Scholar

11. Bobadilla, J., F. Ortega, A. Hernando, A. Gutiérrez. Recommender Systems Survey. – Knowledge-Based Systems, Vol. 46, 2013, No 1, pp. 109-132.10.1016/j.knosys.2013.03.012Search in Google Scholar

12. Adomavicius, G., A. Tuzhilin. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. – IEEE Transactions on Knowledge and Data Engineering, Vol. 17, 2005, No 6, pp. 734-749.10.1109/TKDE.2005.99Search in Google Scholar

13. Salter, J., N. Antonopoulos. CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering. – IEEE Intelligent Systems, Vol. 21, 2006, No 1, pp. 35-41.10.1109/MIS.2006.4Search in Google Scholar

14. Su, X., T. M. Khoshgoftaar. A Survey of Collaborative Filtering Techniques. – Advances in Artificial Intelligence, Vol. 2009, 2009, No 1, pp. 1-19.10.1155/2009/421425Search in Google Scholar

15. Porcel, C., A. Tejeda-Lorente, M. A. Martínez, E. Herrera-Viedma. A Hybrid Recommender System for the Selective Dissemination of Research Resources in a Technology Transfer Office. – Information Sciences, Vol. 184, 2012, No 1, pp. 1-19.10.1016/j.ins.2011.08.026Search in Google Scholar

16. Barragáns-Martínez, A., E. Costa-Montenegro, J. C. Burguillo, M. Rey-López, F. A. Mikic-Fonte, A. Peleteiro. A Hybrid Content-Based and Item-Based Collaborative Filtering Approach to Recommend TV Programs Enhanced with Singular Value Decomposition. – Information Sciences, Vol. 180, 2010, No 22, pp. 4290-4311.10.1016/j.ins.2010.07.024Search in Google Scholar

17. Vozalis, M. G., K. G. Margaritis. Using SVD and Demographic Data for the Enhancement of Generalized Collaborative Filtering. – Information Sciences, Vol. 177, 2007, No 15, pp. 3017-3037.10.1016/j.ins.2007.02.036Search in Google Scholar

18. Medvet, E., A. Bartoli, G. Piccinin. Publication Venue Recommendation Based on Paper Abstract. – In: Proc. of 26th IEEE International Conference on Tools with Artificial Intelligence, IEEE, Limassol, 2014, pp. 1004-1010.10.1109/ICTAI.2014.152Search in Google Scholar

19. Luong, H., T. Huynh, S. Gauch, L. Do, K. Hoang. Publication Venue Recommendation Using Author Network’s Publication History. – In: Proc. of Asian Conference on Intelligent Information and Database Systems, Springer-Verlag, Kaohsiung, 2012, pp. 426-435.10.1007/978-3-642-28493-9_45Search in Google Scholar

20. Alhoori, H., R. Furuta. Recommendation of Scholarly Venues Based on Dynamic User Interests. – Journal of Informetrics, Vol. 11, 2017, No 2, pp. 553-563.10.1016/j.joi.2017.03.006Search in Google Scholar

21. Beierle, F., J. Tan, K. Grunert. Analyzing Social Relations for Recommending Academic Conferences. – In: Proc. of 8th ACM International Workshop on Hot Topics in Planet-Scale Mobile Computing and On-Line Social Networking, ACM, Paderborn, 2016, pp. 37-42.10.1145/2944789.2944871Search in Google Scholar

22. Yu, S., et al. PAVE: Personalized Academic Venue Recommendation Exploiting Co-Publication Networks. – Journal of Network and Computer Applications, Vol. 104, 2018, No 1, pp. 38-47.10.1016/j.jnca.2017.12.004Search in Google Scholar

23. Chen, Z., F. Xia, H. Jiang, H. Liu, J. Zhang. AVER: Random Walk Based Academic Venue Recommendation. – In: Proc. of 24th International Conference on World Wide Web, ACM, Florence, 2015, pp. 579-584.10.1145/2740908.2741738Search in Google Scholar

24. Cai, K.-Y., D. Card. An Analysis of Research Topics in Software Engineering 2006. – Journal of Systems and Software, Vol. 81, 2008, No 6, pp. 1051-1058.10.1016/j.jss.2007.08.028Search in Google Scholar

25. Vasilescu, B., A. Serebrenik, T. Mens. A Historical Dataset of Software Engineering Conferences. – In: Proc. of 10th Working Conference on Mining Software Repositories, IEEE, San Francisco, 2013, pp. 373-376.10.1109/MSR.2013.6624051Search in Google Scholar

26. Croft, W. B., D. Metzler, T. Strohman. Search Engines: Information Retrieval in Practice. Addison-Wesley, 2010.Search in Google Scholar

27. Stamatatos, E. A Survey of Modern Authorship Attribution Methods. – Journal of the American Society for Information Science and Technology, Vol. 60, 2009, No 3, pp. 538-556.10.1002/asi.21001Search in Google Scholar