Group Ranking Sequence Decision for Recommendation of Messaging APP

Home | Sitemap | Contact Us

A-Z 2018 2019 Previous Conferences Conference Articles

Articles

Group Ranking Sequence Decision for Recommendation of Messaging APP [WBM 2014]
DOI: 10.4236/jss.2014.27002 PP.5 - 11
Author(s)
Wei-Feng Tung
ABSTRACT
This research is to develop a novel recommendation service using a unique group ranking sequence technique “Mining Maximum Consensus Sequences from all Users’ Partial Ranking Lists (MCSP)”. MCSP is capable of determining the product’s sequence recommendations based on k-item candidate sequences and maximum consensus sequences. This paper also illustrates the complete decision procedures of group ranking sequences. In terms of popular information products, we select “messaging app” to reveal the MCSP’s group ranking sequence decision. The recommendation service provides that query users search for the product’s recommendation (i.e., messaging app) according to the preference sequences from query users themselves and a great deal of preference sequences from the other users. This paper consists of the definitions, procedures, implementation, and experiment analysis, as well as system demonstrations of MCSP respectively. This research contributes to a kind of systematic service innovation.
KEYWORDS
MCSP, Group Ranking Sequences, Recommendation Service, Messaging APP
References
[1]
Herrear, F., Herrera-Viedma, E., and Verdegay, J.L. (1996) Direct Approach in Group Decision Making Using Linguistic OWA Operators. Fuzzy Sets and Systems, 79, 175-190.
http://dx.doi.org/10.1016/0165-0114(95)00162-X
[2]
Hevner, R.A., Salvatore, T.M. and Jinsoo, P. (2004) Design Science in Information Systems Research. MIS Quarterly, 28, 75-105.
[3]
Hwang, C.L. and Lin, M.J. (1987) Group Decision Making Under Multiple Criteria: Methods and Applications. Springer-Verlag, Berlin Heidelberg.
http://dx.doi.org/10.1007/978-3-642-61580-1
[4]
Chen, Y.L. and Cheng, L.C. (2010) An Approach to Group Ranking Decisions in ADynamic Environment. Decision Support Systems, 48, 622-634.
http://dx.doi.org/10.1016/j.dss.2009.12.003
[5]
Chen, Y.L. and Cheng, L.C. (2009) Mining Maximum Consensus Sequences From Group Ranking Data. European Journal of Operational Research, 198, 241-251.
http://dx.doi.org/10.1016/j.ejor.2008.09.004
[6]
Aaker, D.A. (1991) Managing Brand Equity. The Free Press, New York.
[7]
Aaker, D.A. (1995) Building Strong Brand. The Press, New York.
[8]
Aaker, D.A. (1996) Measuring Brand Personality across Products and Markets. California Management Review, 38, 102-120.
http://dx.doi.org/10.2307/41165845
[9]
Aaker, J.L. (1997) Dimension of Brand Personality. Journal of Marketing Research, 34, 347-356.
http://dx.doi.org/10.2307/3151897
[10]
Basole, R.C. and Rouse, W.B. (2008) Complexity of Service Value Networks: Conceptualization and Empirical Investigation. IBM Systems Journal, 47, 53-68.
http://dx.doi.org/10.1147/sj.471.0053
[11]
Bitner, M.J., Ostrom, A.L. and Morgan, F.N. (2008) Service Blueprinting: A Practical Technique for Service Innovation. California Management Review, 50, 66-94.
http://dx.doi.org/10.2307/41166446
[12]
Chesbrough, H. and Spohrer, J. (2006) A Research Manifesto for Services Science. Communications of the ACM, 49, 35-40.
http://dx.doi.org/10.1145/1139922.1139945
[13]
Cook, W.D., Golany, B., Kress, M., Penn, M. and Raviv, T. (2005) Optimal Allocation of Proposals to Reviewers to Facilitate Effective Ranking. Management Science, 51, 655-661.
http://dx.doi.org/10.1287/mnsc.1040.0290
[14]
Eggert, A. and Ulaga, W. (2002) Customer Perceived Value: a Substitute for Satisfaction in Business Markets? The Journal of Business & Industrial Marketing, 17, 107-118.
http://dx.doi.org/10.1108/08858620210419754
[15]
Frei, F.X. (2008) TheFour Things a Service Business Must Get Right. Harvard Business Review, 86, 70-80.

Select by Subject

Select by City

Contact Us