參考文獻 |
References
Abel, F. (2015). We Know Where You Should Work Next Summer: Job Recommendations. In Proceedings of the 9th ACM Conference on Recommender Systems (pp. 230–230). New York, NY, USA: ACM. http://doi.org/10.1145/2792838.2799496
Aguado, C. L., Laguador, J. M., & Deligero, J. C. (2015). Factors affecting the choice of school and students′ level of interest towards the Maritime Program. Asian Social Science, 11(21).
Aguilar, J. V. B., & Montoya, M. S. R. Academic Knowledge Mobilisation to Promote Cultural Change towards Openness in Education. Open Educational Resources: Innovation, Research and Practice, 17.
Albrecht, W. S., & Sack, R. J. (2000). Accounting education: Charting the course through a perilous future (Vol. 16). Sarasota, FL: American Accounting Association.
Al-Otaibi, S. T., & Ykhlef, M. (2012). A survey of job recommender systems. International Journal of the Physical Sciences, 7(29), 5127–5142. http://doi.org/10.5897/IJPS12.482
Almalis, N. D., Tsihrintzis, G. A., Karagiannis, N., & Strati, A. D. (2015). FoDRA ¿¿¿ A new content-based job recommendation algorithm for job seeking and recruiting. In 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1–7). http://doi.org/10.1109/IISA.2015.7388018
Al-Rfou, A. N. (2013). Factors that influence the choice of business major evidence from Jordan. IOSR Journal of Business and Management (IOSR-JBM), 8(2), 104-107.
Arcidiacono, P., Hotz, J. V., & Kang S. (2012). Modeling college major choices using elicited measures of expectations and counterfactuals. Journal of Econometrics, 166(1), 3-16.
Baeza-Yates, R., & Ribeiro-Neto, B. (1999). Modern information retrieval (Vol. 463). New York: ACM press.
Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: an open source software for exploring and manipulating networks. ICWSM, 8, 361-362.
Bates, S., & Galloway, R. (2012, April). The inverted classroom in a large enrolment introductory physics course: a case study. In Proceedings of the HEA STEM learning and teaching conference (Vol. 1).
Bergmann, J., & Sams, A. (2012). Flip your classroom: Reach every student in every class every day. International Society for Technology in Education.
Bishop, J. (2013, October). Testing the flipped classroom with model-eliciting activities and video lectures in a mid-level undergraduate engineering course. In Frontiers in Education Conference, 2013 IEEE (pp. 161-163). IEEE.
Bobadilla, J., Ortega, F., Hernando, A., & Gutiérrez, A. (2013). Recommender systems survey. Knowledge-Based Systems, 46, 109–132. http://doi.org/10.1016/j.knosys.2013.03.012
Bostandjiev, S., O’Donovan, J., & Höllerer, T. (2013). LinkedVis: Exploring Social and Semantic Career Recommendations. In Proceedings of the 2013 International Conference on Intelligent User Interfaces (pp. 107–116). New York, NY, USA: ACM. http://doi.org/10.1145/2449396.2449412
Bradley, K., & Smyth, B. (2003). Personalized information ordering: a case study in online recruitment. Knowledge-Based Systems, 16(5–6), 269–275. http://doi.org/10.1016/S0950-7051(03)00028-5
Brown, D., & Cinamon, R. G. (2014). Choosing a high school major an Important Stage in the Career Development of Israeli Adolescents. Journal of Career Assessment, 1069072714553083.
Brown, D., & Cinamon, R. G. (2015). Contribution of personality to self-efficacy and outcome expectations in selecting a high school major among adolescents with learning disabilities. Career Development and Transition for Exceptional Individuals, 2165143415587689.
Burke, R. (2002). Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction, 12(4), 331–370. http://doi.org/10.1023/A:1021240730564
Calkins, L., & Welki, A. (2006). Factors that influence choice of major: why some students never consider economics. International Journal of Social Economics, 33(8), 547-564.
Campbell, J., Horton, D., Craig, M., & Gries, P. (2014). Evaluating an inverted CS1. In Proceedings of the 45th ACM technical symposium on Computer science education (pp. pp. 307-312). ACM.
Cano, J. (1999). The relationship between learning style, academic major, and academic performance of college students. Journal of Agricultural Education, 40(1), 30-37.
Carless, S. A. (1999). Career assessment: Holland′s vocational interests, personality characteristics, and abilities. Journal of Career Assessment, 7(2), 125-144.
Chen, P.-C. (2009). A Fuzzy Multiple Criteria Decision Making Model in Employee Recruitment. International Journal of Computer Science and Network Security, 9(7), 113–117.
Cliburn, D. C. (2014). Team-based learning in a data structures course. Journal of Computing Sciences in Colleges, 29(5), 194-201.
Cliburn, D. C. (2015). Teaching shader programming through team-based learning in a computer graphics course. Journal of Computing Sciences in Colleges, 31(2), 11-17.
Cohen, J., & Hanno, D. M. (1993). An analysis of underlying constructs affecting the choice of accounting as a major. Issues in accounting Education, 8(2), 219.
Costa, P. T., McCrae, R. R., & Holland, J. L. (1984). Personality and vocational interests in an adult sample. Journal of Applied Psychology, 69(3), 390.
Day, J., & Foley, J. D. (2006). Evaluating a web lecture intervention in a human–computer interaction course. IEEE Transactions on Education, 49(4), 420-431.
Davies, R. S., Dean, D. L., & Ball, N. (2013). Flipping the classroom and instructional technology integration in a college-level information systems spreadsheet course. Educational Technology Research and Development, 61(4), 563-580.
De Fruyt, F., & Mervielde, I. (1997). The five-factor model of personality and Holland′s RIASEC interest types. Journal of Personality and Individual Differences, 23(1), 87-103.
Diaby, M., Viennet, E., & Launay, T. (2013). Toward the next generation of recruitment tools: An online social network-based job recommender system. In 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 821–828). http://doi.org/10.1145/2492517.2500266
Enfield, J. (2013). Looking at the impact of the flipped classroom model of instruction on undergraduate multimedia students at CSUN. TechTrends, 57(6), 14-27.
Faerber, F., Weitzel, T., & Keim, T. (2003). An Automated Recommendation Approach to Selection in Personnel Recruitment. In AMCIS 2003 Proceedings (pp. 2329–2339).
Fazel-zarandi, M., & Fox, M. S. (n.d.). Semantic Matchmaking for Job Recruitment: An Ontology-Based Hybrid Approach.
Felder, R. M., & Silverman, L. K. (1988). Learning and Teaching Styles in Engineering Education. Engineering Education, 78(7), 674-681.
Felder, R. M., & Spurlin, J. (2005). Applications, Reliablity and Valitdy of the Index of learning styles. International Journal of Engineering Education, 21(1), 103-112.
Feldstein, M. (2013). MOOCs, Courseware, and the Course as an Artifact.
Ferreri, S. P., & O’Connor, S. K. (2013). Redesign of a large lecture course into a small-group learning course. American journal of pharmaceutical education, 77(1), 13.
Ferry, N. M. (2006). Factors influencing career choices of adolescents and young adults in rural Pennsylvania. Journal of Extension, 44(3), 1-6.
Feyter, T. D., Caers, R., Vigna, C., & Berings, D. (2012). Unraveling the impact of the Big five personality traits on academic performance: moderating and mediating effects of self-efficiancy and academic motivation. Journal of Learning and Individual Differences, 22(4), 439-448.
Findlay-Thompson, S., & Mombourquette, P. (2014). Evaluation of a flipped classroom in an undergraduate business course. Business Education & Accreditation, 6(1), 63-71.
Forsey, M., Low, M., & Glance, D. (2013). Flipping the sociology classroom: Towards a practice of online pedagogy. Journal of Sociology, 49(4), 471-485.
Fouad, N. A., Kim, S. Y., Ghosh, A., Chang, W. H., & Figueiredo, C. (2015). Family Influence on Career Decision Making Validation in India and the United States. Journal of Career Assessment, 1069072714565782.
Fulton, C., & Gonzalez, L. (2015). Making Career Counseling Relevant: Enhancing Experiential Learning Using a “Flipped” Course Design. The Journal of Counselor Preparation and Supervision, 7(2), 2.
Gannod, G. C., Burge, J. E., & & Helmick, M. T. (2008). Using the inverted classroom to teach software engineering. In Proceedings of the 30th international conference on Software engineering (pp. pp. 777-786). ACM.
Gassen, J. B., Faralli, S., Ponzetto, S. P., & Mendling, J. (2016). Who-Does-What: a knowledge base of people′s occupations and job activities. In CEUR workshop proceedings (Vol. 1690, pp. Paper-65). RWTH.
Gaughan, J. E. (2014). The flipped classroom in world history. The History Teacher, 47(2), 221-244.
Gehringer, E. F., & Peddycord III, B. W. (2013). The inverted-lecture model: a case study in computer architecture. In Proceeding of the 44th ACM technical symposium on Computer science education (pp. pp. 489-494). ACM.
Geiger, M. A., & Ogilby, S. M. (2000). The first course in accounting: students’ perceptions and their effect on the decision to major in accounting. Journal of Accounting Education, 18(2), 63-78.
Geser, G. (2007). Open Educational Practices and Resources. OLCOS Roadmap, 2012.
Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological Assessment, 4(1), 26.
Goldberg, L. R. (1993). The structure of phenotypic personality traits. American Psychologist, 48(1), 26.
Gordon, V. N. (2007). The undecided college student: An academic and career advising challenge. Charles C Thomas Publisher.
Guo, X., Jerbi, H., & O’Mahony, M. P. (2014). An Analysis Framework for Content-based Job Recommendation. Presented at the 22nd International Conference on Case-Based Reasoning (ICCBR), Cork, Ireland, 29 September - 01 October 2014. Retrieved from http://researchrepository.ucd.ie/handle/10197/6107
Gupta, A., & Garg, D. (2014). Applying data mining techniques in job recommender system for considering candidate job preferences. In 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI (pp. 1458–1465). http://doi.org/10.1109/ICACCI.2014.6968361
Hawk, T. F., & Shah, A. J. (2007). Using learning style instruments to enhance student learning. Decision Sciences Journal of Innovative Education, 5(1), 1-19.
Heap, B., Krzywicki, A., Wobcke, W., Bain, M., & Compton, P. (2014). Combining Career Progression and Profile Matching in a Job Recommender System. In D.-N. Pham & S.-B. Park (Eds.), PRICAI 2014: Trends in Artificial Intelligence (pp. 396–408). Springer International Publishing. Retrieved from http://link.springer.com/chapter/10.1007/978-3-319-13560-1_32.
Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004). Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems (TOIS), 22(1), 5-53.
Herold, M. J., Lynch, T. D., Ramnath, R., & Ramanathan, J. (2012). Student and instructor experiences in the inverted classroom. . In Frontiers in Education Conference (FIE), (pp.1-6).
Hill, P. (2012). Four Barriers that MOOCs must overcome to build a sustainable model. Recuperado el, 1.
Hilton, M. L., & Tippins, N. T. (Eds.). (2010). A Database for a Changing Economy: Review of the Occupational Information Network (O* NET). Washington: National Academies Press.
Holland, J. L. (1959). A theory of vocational choice. Journal of Counseling Psychology, 6(1), 35.
Holland, J. L. (1966). A psychological classification scheme for vocations and major fields. Journal of Counseling Psychology, 13(3), 278.
Holland, J. L. (1979). The Self-Directed Search professional manual. Palo Alto: CA: Consulting Psychologists Press.
Holland, J. L. (1985a). Making vocational choices: A theory of vocational personaliries and work environments. Englewood Cliffs: NJ: Prentice-Hall.
Holland, J. L. (1985b). Manual for the Vocational Preference Inventory. Odessa: FL: Psychological Assessment Resources.
Holland, J. L. (1997). Making vocational choices: A theory of vocational personalities and work environments . Psychological Assessment Resources.
Holland, J. L., & Gottfredson, G. D. (1976). Using a typology of persons and environments to explain careers: some extensions and clarifications. The Counseling Psychologist, 6(3), 20-29.
Holland, J. L., & Gottfredson, G. D. (1992). Studies of the hexagonal model: An evaluation: or the perils of stalking the perfect hexagon. Special Issue: Holland’s theory. Journal of Vocational Behavior, 40, 158-170.
Hong, W., Zheng, S., Wang, H., & Shi, J. (2013). A Job Recommender System Based on User Clustering. Journal of Computers, 8(8). http://doi.org/10.4304/jcp.8.8.1960-1967
Hussain, S., Abbas, M., Shahzad, K., & Bukhari, S. A. (2012). Personality and Career choices. African Journal of Business Management , 6(6), 2255-2260.
Ibrahimoglu, N., Unaldi, I., Samancioglu, M., & Baglibel, M. (2013). The relationship between personality traits and learning styles: a cluster analysis. Asian Journal of Management Sciences and Education, 2(3), 93-108.
Kaufman, J. C., Pumaccahua, T. T., & Holt, R. E. (2013). Personality and creativity in realistic, investigative, artistic, social, and enterprising college majors. Journal of Personality and Individual Differences, 54(8), 913-917.
Keim, T. (2007). Extending the Applicability of Recommender Systems: A Multilayer Framework for Matching Human Resources. In 40th Annual Hawaii International Conference on System Sciences, 2007. HICSS 2007 (pp. 169–169). http://doi.org/10.1109/HICSS.2007.223
Kim, D., Markham, F. S., & Cangelosi, J. D. (2002). Why students pursue the business degree: A comparison of business majors across universities. Journal of Education for Business, 78(1), 28-32.
Komarraju, M., Karau, S. J., Schmeck, R. R., & Avdic, A. (2011). The Big Five personality traits, learning styles, and academic achievement. Journal of Personality and Individual Differences, 51, 472-477.
Lane, A., & McAndrew, P. (2010). Are open educational resources systematic or systemic change agents for teaching practice?. British Journal of Educational Technology, 41(6), 952-962.
Largent, D. L. (2013). Flipping a large CS0 course: an experience report about exploring the use of video, clickers and active learning. Journal of Computing Sciences in Colleges, 29(1), 84-91.
Larson, S., & Yamamoto, J. (2013). Flipping the College Spreadsheet Skills Classroom: Initial Empirical Results. Journal of Emerging Trends in Computing and Information Sciences, 4(10), 751-758.
Latulipe, C., Long, N. B., & Seminario, C. E. (2015, February). Structuring flipped classes with lightweight teams and gamification. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education (pp. 392-397). ACM.
Lee, D. H., & Brusilovsky, P. (2007). Fighting Information Overflow with Personalized Comprehensive Information Access: A Proactive Job Recommender. In Third International Conference on Autonomic and Autonomous Systems, 2007. ICAS07 (pp. 21–21). http://doi.org/10.1109/CONIELECOMP.2007.76
Lee, D., & Brusilovsky, P. (2012). Proactive: Comprehensive Access to Job Information. Journal of Information Processing Systems, 8(4), 721–738. http://doi.org/10.3745/JIPS.2012.8.4.721
Lee, Y.-C., Hong, J., & Kim, S.-W. (2016). Job Recommendation in AskStory: Experiences, Methods, and Evaluation. In Proceedings of the 31st Annual ACM Symposium on Applied Computing (pp. 780–786). New York, NY, USA: ACM. http://doi.org/10.1145/2851613.2851862
Lemire, D., & Maclachlan, A. (2005, April). Slope One Predictors for Online Rating-Based Collaborative Filtering. In SDM (Vol. 5, pp. 1-5).
Lü, L., Medo, M., Yeung, C. H., Zhang, Y.-C., Zhang, Z.-K., & Zhou, T. (2012). Recommender systems. Physics Reports, 519(1), 1–49. http://doi.org/10.1016/j.physrep.2012.02.006
Malinowski, J., Keim, T., Wendt, O., & Weitzel, T. (2006). Matching People and Jobs: A Bilateral Recommendation Approach. In Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS’06) (Vol. 6, p. 137c–137c). http://doi.org/10.1109/HICSS.2006.266
Malinowski, J., Weitzel, T., & Keim, T. (2008). Decision support for team staffing: An automated relational recommendation approach. Decision Support Systems, 45(3), 429–447. http://doi.org/10.1016/j.dss.2007.05.005
Mauldin, S., Crain, J. L., & Mounce, P. H. (2000). The accounting principles instructor′s influence on students′ decision to major in accounting. Journal of Education for Business, 75(3), 142-148.
Mazzarol, T., & Soutar, G. N. (2002). “Push-pull” factors influencing international student destination choice. International Journal of Educational Management, 16(2), 82-90.
McCrae, R. R., & Costa, P. T. (1987). Validation of the Five-Factor Model of Personality Across Instruments and Observers. Journal of Personality and Social Psychology, 52(1), 81-90.
McCrae, R. R., & John, O. P. (1998). An Introduction to the five-factor model and its applications. Personality: critical concepts in psychology, 60, 295.
McLaughlin, J. E., Roth, M. T., Glatt, D. M., Gharkholonarehe, N., Davidson, C. A., Griffin, L. M., ... & Mumper, R. J. (2014). The flipped classroom: a course redesign to foster learning and engagement in a health professions school. Academic Medicine, 89(2), 236-243.
Mendsaikhan, S., Gerelt-Od, G. , Erdenesuren, B., Ganbat, B., Bajiikhuu, K., and Oidovdanzan, R. (2010). Eds., Mongolian Statistical Yearbook. National Statistical Office of Mongolia. [Online]. Available: http://www.nso.mn
Mendsaikhan, S., Gerelt-Od, G. , Erdenesuren, B., Ganbat, B., and Bajiikhuu, K. (2011). Eds., Mongolian Statistical Yearbook. National Statistical Office of Mongolia. [Online]. Available: http://www.nso.mn
Moran, K., & Milsom, A. (2015). The flipped classroom in counselor education. Counselor Education and Supervision, 54(1), 32-43.
Morgan, R. L. (1991). Classification of instructional programs.
Morris, N. and Lambe, J. (2014), Studying a MOOC, Palgrave Macmillan.
O*NET Resource Center. (2015). The O*NET analyst database. O*NET Consortium.
Paparrizos, I., Cambazoglu, B. B., & Gionis, A. (2011). Machine Learned Job Recommendation. In Proceedings of the Fifth ACM Conference on Recommender Systems (pp. 325–328). New York, NY, USA: ACM. http://doi.org/10.1145/2043932.2043994
Peterson, N. G., Mumford, M. D., Borman, W. C., Jeanneret, P. R., Fleishman, E. A., Levin, K. Y., ... & Gowing, M. K. (2001). Understanding work using the Occupational Information Network (O* NET): Implications for practice and research. Personnel Psychology, 54(2), 451-492.
Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135(2), 322.
Porter, S. R., & Umbach, P. D. (2006). College major choice: An analysis of person–environment fit. Research in Higher Education, 47(4), 429-449.
Pozzebon, J. A., Ashton, M. C., & Visser, B. A. (2014). Major changes: Personality, Ability, and Congurence in the prediction of Academic Outcomes. Journal of Career Assessment, 22(1), 75-88.
Prober, C. G., & Heath, C. (2012). Lecture halls without lectures—a proposal for medical education. N Engl J Med, 366(18), 1657-1659.
Rafter, R., Bradley, K., & Smyth, B. (2000). Personalised Retrieval for Online Recruitment Services. Presented at the The BCS/ IRSG 22nd Annual Colloquium on Information Retrieval (IRSG 2000), Cambridge, UK, 5-7 April, 2000. Retrieved from http://researchrepository.ucd.ie/handle/10197/4636
Razak, T. R., Hashim, M. A., Noor, N. M., Halim, I. H. A., & Shamsul, N. F. F. (2014). Career path recommendation system for UiTM Perlis students using fuzzy logic. In 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS) (pp. 1–5). http://doi.org/10.1109/ICIAS.2014.6869553
Rothamann, S., & Coetzer, E. P. (2003). The big five personality dimensions and job performance. SA Journal of Industrial Psychology, 29(1), 68-74.
Sabot, R., & Wakeman-Linn, J. (1991). Grade inflation and course choice. The Journal of Economic Perspectives, 5(1), 159-170.
Salton, G., Wong, A., & Yang, C. S. (1975). A vector space model for automatic indexing. Communications of the ACM, 18(11), 613-620.
Salton, G., Fox, E. A., & Wu, H. (1983). Extended Boolean information retrieval. Communications of the ACM, 26(11), 1022-1036.
Sampson, D. G., Zervas, P., Sotiriou, S., & Agogi, E. (2013). Sharing of open science education resources and educational practices in Europe. Open Educational Resources: Innovation, Research and Practice, 105.
Sarawagi, N. (2014). A flipped CS0 classroom: applying Bloom′s taxonomy to algorithmic thinking. Journal of Computing Sciences in Colleges, 29(6), 21-28.
Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2001). Item-based Collaborative Filtering Recommendation Algorithms. In Proceedings of the 10th International Conference on World Wide Web (pp. 285–295). New York, NY, USA: ACM. http://doi.org/10.1145/371920.372071
Shani, G., & Gunawardana, A. (2011). Evaluating recommendation systems. In Recommender systems handbook (pp. 257-297). Springer US.
Siegfried, J. J., & Raymond, J. E. (1984). A profile of senior economics majors in the United States. The American Economic Review, 74(2), 19-25.
Siemens, G. (2013). Massive open online courses: Innovation in education. Open educational resources: Innovation, research and practice, 5.
Singh, A., Rose, C., Visweswariah, K., Chenthamarakshan, V., & Kambhatla, N. (2010). PROSPECT: A System for Screening Candidates for Recruitment. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (pp. 659–668). New York, NY, USA: ACM. http://doi.org/10.1145/1871437.1871523
Siraj, F., Mustafa, N., Haris, M. F., Yusof, S. R. M., Salahuddin, M. A., & Hasan, M. R. (2011). Pre-selection of Recruitment Candidates Using Case Based Reasoning. In Modelling Simulation 2011 Third International Conference on Computational Intelligence (pp. 84–90). http://doi.org/10.1109/CIMSim.2011.24
Solomon, B. A., & Felder, R. M. (1999). Index of learning styles. Raleigh, NC: North Carolina State University. Available online.
Sovet, L., & Metz, A. (2014). Parenting styles and career desicion-making among French and Korean adolescents. Journal of Vocational Behavior, 84(3), 345-355.
Strayer, J. F. (2012). How learning in an inverted classroom influences cooperation, innovation and task orientation. Learning Environments Research, 15(2), 171-193.
Su, X., & Khoshgoftaar, T. M. (2009). A Survey of Collaborative Filtering Techniques. Adv. in Artif. Intell., 2009, 4:2–4:2. http://doi.org/10.1155/2009/421425
Sung-Hyuk, C. (2007). Comprehensive survey on distance/similarity measures between probability density functions. International Journal of Mathematical Models and Methods in Applied Sciences, 1(4), 300–307.
Tucker, B. (2012). The flipped classroom. Education Next, 12(1).
Wang, Y., Zhang, X., Nan, L., & Wang, D. (2014). Occupation recommendation based on student achievement mining in vocational skill training. In 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (pp. 686–691). http://doi.org/10.1109/FSKD.2014.6980918
Warter-Perez, N., & Dong, J. (2012, April). Flipping the classroom: How to embed inquiry and design projects into a digital engineering lecture. In Proceedings of the 2012 ASEE PSW Section Conference. Washington DC: American Society for Engineering Education.
Wilson, S. G. (2013). The flipped class: A method to address the challenges of an undergraduate statistics course. Teaching of Psychology, 40(3), 193-199.
Woods, S. A., & Hampson, S. E. (2010). Predicting Adult Occupational Environments from Gender and Childhood Personality Traits. Journal of Applied Psychology, 95(6), 1045.
Worthington, A., & Higgs, H. (2004). Factors explaining the choice of an economics major: the role of student characteristics, personality and perceptions of the profession. International Journal of Social Economics, 31(5/6), 593-613.
Wu, H. C., Luk, R. W. P., Wong, K. F., & Kwok, K. L. (2008). Interpreting tf-idf term weights as making relevance decisions. ACM Transactions on Information Systems (TOIS), 26(3), 13.
Young, C. A., & Moran, C. M. (Eds.). (2017). Applying the Flipped Classroom Model to English Language Arts Education. IGI Global.
Yu, H., Liu, C., Zhang, F., Yu_, H., Liu, C., & Zhang, F. (n.d.). Reciprocal Recommendation Algorithm for the Field of Recruitment, Reciprocal Recommendation Algorithm for the Field of Recruitment. JOURNAL OF INFORMATION &COMPUTATIONAL SCIENCE, 8(16), 4061–4068.
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