Artigos de revistas: "Choice modelling"

1

Roberts, D. R. "Modelling customer choice". Journal of Revenue and Pricing Management 1, n.º 4 (janeiro de 2003): 369–78. http://dx.doi.org/10.1057/palgrave.rpm.5170040.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

2

Huybers, Twan. "Destination Choice Modelling: What's in a Name?" Tourism Economics 11, n.º 3 (setembro de 2005): 329–50. http://dx.doi.org/10.5367/000000005774352999.

Texto completo da fonte

Resumo:

Discrete choice modelling can be employed to analyse tourists' holiday destination choices. The data for a destination choice modelling analysis are often obtained from a survey in which prospective tourists indicate their choices in a series of hypothetical scenarios. In that context, an issue deserving investigation is the use of destination names in the stated choice task. Using the names of destinations to label the alternatives in a choice scenario would be expected to enhance the predictive validity of the choice model. On the other hand, the experimental design of the choice scenarios may yield destination descriptions that appear unrealistic to survey respondents. In this paper, the labelling issue is investigated using a choice modelling study of short-break destination choices by residents from Melbourne, Australia. The multinomial logit model is used to compare the results of labelled and unlabelled stated choice tasks. The comparative results are reported and discussed and implications for destination choice modelling applications are drawn.

Estilos ABNT, Harvard, Vancouver, APA, etc.

3

Huybers, Twan. "Domestic tourism destination choices ? a choice modelling analysis". International Journal of Tourism Research 5, n.º 6 (2003): 445–59. http://dx.doi.org/10.1002/jtr.450.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

4

Thill, Jean-Claude. "Choice set formation for destination choice modelling". Progress in Human Geography 16, n.º 3 (setembro de 1992): 361–82. http://dx.doi.org/10.1177/030913259201600303.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

5

Fotheringham, A. S. "Modelling Hierarchical Destination Choice". Environment and Planning A: Economy and Space 18, n.º 3 (março de 1986): 401–18. http://dx.doi.org/10.1068/a180401.

Texto completo da fonte

Resumo:

The production-constrained gravity formulation is shown to be an especially inaccurate specification of reality whenever the selection of destinations by individuals results from a hierarchical choice process. Hierarchical decisionmaking violates the Independence from Irrelevant Alternatives property embedded in the theoretical derivation of the production-constrained gravity model from choice axioms. Various aspects of gravity model misspecification resulting from hierarchical destination choice are investigated and an empirical example is given in terms of US migrants. A discussion is presented of several destination choice models that are more accurately specified than the gravity formulation when destination choice is hierarchical. The recently derived competing destinations formulation is shown to be amongst the most useful in this respect. The discussion is framed in the context of discrete choice theory.

Estilos ABNT, Harvard, Vancouver, APA, etc.

6

Gönsch, Jochen, Robert Klein e Claudius Steinhardt. "Discrete Choice Modelling (Teil I)". WiSt - Wirtschaftswissenschaftliches Studium 37, n.º 7 (2008): 356–62. http://dx.doi.org/10.15358/0340-1650-2008-7-356.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

7

Gönsch, Jochen, Robert Klein e Claudius Steinhardt. "Discrete Choice Modelling (Teil II)". WiSt - Wirtschaftswissenschaftliches Studium 37, n.º 8 (2008): 412–18. http://dx.doi.org/10.15358/0340-1650-2008-8-412.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

8

Li, Dawei, Tomio Miwa e Takayuki Morikawa. "Considering En-Route Choices in Utility-Based Route Choice Modelling". Networks and Spatial Economics 14, n.º 3-4 (11 de setembro de 2014): 581–604. http://dx.doi.org/10.1007/s11067-014-9255-5.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

9

Timmermans, H., e P. van der Waerden. "Modelling Sequential Choice Processes: The Case of Two-Stop Trip Chaining". Environment and Planning A: Economy and Space 24, n.º 10 (outubro de 1992): 1483–90. http://dx.doi.org/10.1068/a241483.

Texto completo da fonte

Resumo:

Traditional decompositional preferences and choice studies are focused on the prediction of single choices, such as choice of shopping centre or transport mode. Discrete choice experiments are used to derive choice models that predict the probability of choosing a choice alternative as a function of its attributes. In this paper these traditional models are extended by addressing the problem of sequential choice behaviour. It is demonstrated how discrete choice experiments and universal logit models may be used to predict a choice sequence. The approach is illustrated for the problem of trip chaining. The research findings support the suggested approach.

Estilos ABNT, Harvard, Vancouver, APA, etc.

10

Rungie, Campbell M., Leonard V. Coote e Jordan J. Louviere. "Structural Choice Modelling: Theory and Applications to Combining Choice Experiments". Journal of Choice Modelling 4, n.º 3 (2011): 1–29. http://dx.doi.org/10.1016/s1755-5345(13)70040-x.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

11

Arencibia, Ana Isabel, María Feo-Valero, Leandro García-Menéndez e Concepción Román. "Modelling mode choice for freight transport using advanced choice experiments". Transportation Research Part A: Policy and Practice 75 (maio de 2015): 252–67. http://dx.doi.org/10.1016/j.tra.2015.03.027.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

12

Oral, Muhittin, e Ossama Kettani. "Modelling the Process of Multiattribute Choice". Journal of the Operational Research Society 40, n.º 3 (março de 1989): 281. http://dx.doi.org/10.2307/2583341.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

13

Beheshtitabar, Ehsan, Sergi Aguilar Ríos, David König-Hollerwöger, Zdeněk Svatý e Clas Rydergren. "ROUTE CHOICE MODELLING FOR BICYCLE TRIPS". INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING 4, n.º 2 (junho de 2014): 194–209. http://dx.doi.org/10.7708/ijtte.2014.4(2).06.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

14

Bashir, Jasmeena, Sarafaraz Equbal e Bisma Raina. "The Choice Modelling Approach: A Review". ECS Transactions 107, n.º 1 (24 de abril de 2022): 15081–97. http://dx.doi.org/10.1149/10701.15081ecst.

Texto completo da fonte

Resumo:

Among the set of stated preference methods, the Choice Experiments (CES) is now widely applied to diverse environmental goods where market failure exists. This method has found its success in resolving some methodological issues of Contingent Valuation Method (CVM). Choice experiment (CE) is the method which has greatest number of applications where people select the best favored substitute among the set of substitutes by simply ranking and the rating scales. Despite many limitations or methodological issues arising due to hypothetical nature of stated preference surveys, this method could be successfully applicable to a series of non-marketed properties with certainty to measure consumer preferences. The main aim of this study is to analyze the recent development of the CEs and its methodological issues. Besides this the review will also include background and theoretical basis of Choice Experiments.

Estilos ABNT, Harvard, Vancouver, APA, etc.

15

Gostilovich, A. O. "Consumer Choice Modelling in Sharing Economy". Revista Gestão Inovação e Tecnologias 11, n.º 2 (5 de junho de 2021): 1153–61. http://dx.doi.org/10.47059/revistageintec.v11i2.1744.

Texto completo da fonte

Resumo:

Development of sharing economy creates new challenges and opens unprecedented business opportunities. In this economic environment, industrial enterprises can expand their direct selling strategies with the new business model “product as a service”. This option is the result of a shift in consumer preferences among clients of industrial enterprises. The development of the consumer choice model applied to sharing economy is a topical agenda, perhaps now more than ever. Such a model, if available, would help predict multiple scenarios of consumer behaviour and prepare the manufacturing companies for better interaction with their target market. This article makes an attempt to offer a consumer choice model in sharing economy, based on 4 types of possible consumer behaviour. The results of the article serve as a foundation of multi-agent modelling and quantitative assessment of abstract situations in the business-to-consumer market.

Estilos ABNT, Harvard, Vancouver, APA, etc.

16

Oral, Muhittin, e Ossama Kettani. "Modelling the Process of Multiattribute Choice". Journal of the Operational Research Society 40, n.º 3 (março de 1989): 281–91. http://dx.doi.org/10.1057/jors.1989.38.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

17

Varlamov, A. A., D. L. Yakobchuk e I. A. Lozhkin. "Choice of Factors Modelling of Concrete". IOP Conference Series: Materials Science and Engineering 661 (20 de novembro de 2019): 012087. http://dx.doi.org/10.1088/1757-899x/661/1/012087.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

18

Wiley, James B., e Harry J. P. Timmermans. "Modelling Portfolio Choice in Transportation Research". Transport Reviews 29, n.º 5 (setembro de 2009): 569–86. http://dx.doi.org/10.1080/01441640902829462.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

19

Cardoso, Antonio, Mario de Araujo e Eduarda Coquet. "Modelling children's choice decisions of clothing". Journal of Fashion Marketing and Management: An International Journal 12, n.º 3 (11 de julho de 2008): 415–28. http://dx.doi.org/10.1108/13612020810889344.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

20

Van Camp, Arthur, e Enrique Miranda. "Modelling epistemic irrelevance with choice functions". International Journal of Approximate Reasoning 125 (outubro de 2020): 49–72. http://dx.doi.org/10.1016/j.ijar.2020.06.010.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

21

Bujosa Bestard, Angel, e Antoni Riera Font. "Environmental diversity in recreational choice modelling". Ecological Economics 68, n.º 11 (setembro de 2009): 2743–50. http://dx.doi.org/10.1016/j.ecolecon.2009.05.016.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

22

Ryan, Mandy, e Diane Skåtun. "Modelling non-demanders in choice experiments". Health Economics 13, n.º 4 (abril de 2004): 397–402. http://dx.doi.org/10.1002/hec.821.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

23

Madan, Dilip B. "Utility correlations in probabilistic choice modelling". Economics Letters 20, n.º 3 (janeiro de 1986): 241–45. http://dx.doi.org/10.1016/0165-1765(86)90030-3.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

24

van Middelkoop, Manon, Aloys W. J. Borgers e H. J. P. Timmermans. "Modelling Tourist Destination Choice Using a Decision Table Induction Algorithm". Environment and Planning A: Economy and Space 35, n.º 9 (setembro de 2003): 1669–87. http://dx.doi.org/10.1068/a35182.

Texto completo da fonte

Resumo:

The authors report on the development and test of a rule-based model of tourist destination choice, using decision tables to represent the rules that specify the conditions under which particular destination choices are made. Rules are extracted from empirical data on tourist destination choice, collected in the Netherlands in 1998. The specification of the model and its performance are discussed.

Estilos ABNT, Harvard, Vancouver, APA, etc.

25

Moslem, Sarbast, Tiziana Campisi, Agnieszka Szmelter-Jarosz, Szabolcs Duleba, Kh Md Nahiduzzaman e Giovanni Tesoriere. "Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy". Sustainability 12, n.º 17 (22 de agosto de 2020): 6824. http://dx.doi.org/10.3390/su12176824.

Texto completo da fonte

Resumo:

All countries have suffered from the COVID-19 crisis; the pandemic has adversely impacted all sectors. In this study, we examine the transport sector with a specific focus on the problem of commuting mode choice and propose a new decision-making approach for the alternative modes after synthesizing expert opinions. As a methodology, a customized model of the recently developed best–worst method (BWM) is used to evaluate mobility choice alternatives. The survey reflects citizens’ opinions toward mobility choices in two Italian cities, Palermo and Catania, before and during the pandemic. BWM is a useful tool for examining mobility choice in big cities. The adopted model is easy to apply and capable of providing effective solutions for sustainable mode choice. The urban context is analyzed considering the importance of transport choices, evaluating the variation of resilience to the changing opinions of users.

Estilos ABNT, Harvard, Vancouver, APA, etc.

26

Windle, Jill, e John Rolfe. "Diversification choices in agriculture: a Choice Modelling case study of sugarcane growers". Australian Journal of Agricultural and Resource Economics 49, n.º 1 (março de 2005): 63–74. http://dx.doi.org/10.1111/j.1467-8489.2005.00279.x.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

27

Timmermans, H. J. P. "A Stated Choice Model of Sequential Mode and Destination Choice Behaviour for Shopping Trips". Environment and Planning A: Economy and Space 28, n.º 1 (janeiro de 1996): 173–84. http://dx.doi.org/10.1068/a280173.

Texto completo da fonte

Resumo:

Stated preference and choice models currently used in urban planning are focused on predicting single choices. In this paper the intention is to extend these modelling approaches to the case of sequential choice behaviour. Design strategies and model specifications that allow one to predict sequential choice are discussed. The approach is illustrated in a study of sequential mode and destination choice behaviour for shopping trips. The research findings suggest that the proposed approach may be a valuable extension of currently available stated preference and choice methods to analyse more complex forms of decisionmaking.

Estilos ABNT, Harvard, Vancouver, APA, etc.

28

Zhang, Hengyang, Jason Hawkins e Khandker Nurul Habib. "A joint model of place of residence (POR) and place of work (POW): Making use of Gibbs sampling technique to overcome arbitrary assumptions in contexts of data limitation". Journal of Transport and Land Use 12, n.º 1 (3 de dezembro de 2019): 873–92. http://dx.doi.org/10.5198/jtlu.2019.1624.

Texto completo da fonte

Resumo:

Place or residence (POR) and place of work (POW) are two spatial pivots defining patterns of travel behavior. These choices are considered part of long-term choice influencing short-term daily travel choices. Hence, POR-POW distributions are input into almost all daily travel demand models. However, in many cases, POW-POR is modelled in an ad-hoc way considering the gravity-based or entropy is maximizing aggregate modelling approach. Lack of data on the sequence of choices related to POR and POW is often blamed for avoiding using disaggregate choice model. Recognizing such data limitation, this paper presents an alternative methodology of modelling joint distribution of POW-POW that uses disaggregate choice models without necessarily knowing the sequence of POR and POW choices. It uses the conditional probability break downs of joint POR-POW choice probabilities as depicted in the Gibbs sampling approach. This allows capturing effects of household socioeconomic characteristics, zonal land-use characteristics, and modal accessibility factors in the POR-POW models. The model is applied for a case study in the city of Ottawa. Results reveal that the proposed methodology can replicate observed patterns of POR-POW with a high degree of accuracy.

Estilos ABNT, Harvard, Vancouver, APA, etc.

29

Kramberger, Tomaž, Bojan Rupnik, Gregor Štrubelj e Klemen Prah. "Port Hinterland Modelling Based on Port Choice". PROMET - Traffic&Transportation 27, n.º 3 (26 de junho de 2015): 195–203. http://dx.doi.org/10.7307/ptt.v27i3.1611.

Texto completo da fonte

Resumo:

This paper presents a new approach for hinterland modelling based on the results of port choice modelling. The paper follows the idea that the shippers’ port choice is a trade-off between various objective and subjective factors. The presented model tackles the problem by applying the AHP method in order to obtain ports’ preference rates based on subjective factors, and combine them with objective factors, which include port operation costs, sailing times, and land transport costs using MILP. The ports’ hinterlands are modelled by finding the optimal port of choice for different locations across Europe and merging the identical results. The model can be used in order to produce captive hinterland of ports and can also be exploited in order to analyse how changes in the traffic infrastructure influence the size of hinterlands.

Estilos ABNT, Harvard, Vancouver, APA, etc.

30

Neumann, Oliver, e Adrian Ritz. "Public service motivation and rational choice modelling". Public Money & Management 35, n.º 5 (3 de julho de 2015): 365–70. http://dx.doi.org/10.1080/09540962.2015.1061179.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

31

Concu, Giovanni B. "Measuring Environmental Externality Spillovers through Choice Modelling". Environment and Planning A: Economy and Space 41, n.º 1 (janeiro de 2009): 199–212. http://dx.doi.org/10.1068/a39266.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

32

Glenk, Klaus, e Sergio Colombo. "Modelling outcome-related risk in choice experiments". Australian Journal of Agricultural and Resource Economics 57, n.º 4 (14 de junho de 2013): 559–78. http://dx.doi.org/10.1111/1467-8489.12012.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

33

Yeo, Gi-Tae, Adolf K. Y. Ng, Paul Tae-Woo Lee e Zaili Yang. "Modelling port choice in an uncertain environment". Maritime Policy & Management 41, n.º 3 (21 de outubro de 2013): 251–67. http://dx.doi.org/10.1080/03088839.2013.839515.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

34

Fitzgerald, PE, e M. Aristides. "PMC18 STATISTICAL ISSUES IN DISCRETE CHOICE MODELLING". Value in Health 7, n.º 6 (novembro de 2004): 774. http://dx.doi.org/10.1016/s1098-3015(10)66065-2.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

35

Fischer, Manfred M., e Peter Nijkamp. "From static towards dynamic discrete choice modelling". Regional Science and Urban Economics 17, n.º 1 (fevereiro de 1987): 3–27. http://dx.doi.org/10.1016/0166-0462(87)90066-4.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

36

Roh, Hyuk-Jae, e Ata M. Khan. "Enhancing algorithmic base for discrete choice modelling". KSCE Journal of Civil Engineering 17, n.º 7 (24 de outubro de 2013): 1798–809. http://dx.doi.org/10.1007/s12205-013-0318-9.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

37

González-Benito, Óscar. "Overcoming data limitations for store choice modelling." Journal of Retailing and Consumer Services 9, n.º 5 (setembro de 2002): 259–68. http://dx.doi.org/10.1016/s0969-6989(01)00035-2.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

38

Crouch, Geoffrey I., Timothy M. Devinney, Jordan J. Louviere e Towhidul Islam. "Modelling consumer choice behaviour in space tourism". Tourism Management 30, n.º 3 (junho de 2009): 441–54. http://dx.doi.org/10.1016/j.tourman.2008.07.003.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

39

Magala, Mateus, e Adrian Sammons. "A New Approach to Port Choice Modelling". Maritime Economics & Logistics 10, n.º 1-2 (março de 2008): 9–34. http://dx.doi.org/10.1057/palgrave.mel.9100189.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

40

Cantillo, Víctor, e Juan de Dios Ortúzar. "Implications of Thresholds in Discrete Choice Modelling". Transport Reviews 26, n.º 6 (novembro de 2006): 667–91. http://dx.doi.org/10.1080/01441640500487275.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

41

Ottomanelli, Michele, Mauro Dell'Orco e Domenico Sassanelli. "Modelling parking choice behaviour using Possibility Theory". Transportation Planning and Technology 34, n.º 7 (outubro de 2011): 647–67. http://dx.doi.org/10.1080/03081060.2011.602846.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

42

Grammig, Joachim, Reinhard Hujer e Michael Scheidler. "Discrete choice modelling in airline network management". Journal of Applied Econometrics 20, n.º 4 (2005): 467–86. http://dx.doi.org/10.1002/jae.799.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

43

Dibb, S. "Modelling in new housing choice—An application". Omega 22, n.º 6 (novembro de 1994): 589–600. http://dx.doi.org/10.1016/0305-0483(94)90050-7.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

44

Burkart, Christian, Pamela C. Nolz e Walter J. Gutjahr. "Modelling beneficiaries’ choice in disaster relief logistics". Annals of Operations Research 256, n.º 1 (9 de janeiro de 2016): 41–61. http://dx.doi.org/10.1007/s10479-015-2097-9.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

45

Smith, Tony E. "Spatial interaction modelling and residential choice analysis". Transportation Research Part A: General 22, n.º 6 (novembro de 1988): 470–71. http://dx.doi.org/10.1016/0191-2607(88)90052-0.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

46

Prave, Rose Sebastianelli, e J. Keith Ord. "An adaptive approach for modelling multiattribute choice". Journal of Multi-Criteria Decision Analysis 4, n.º 2 (junho de 1995): 91–106. http://dx.doi.org/10.1002/mcda.4020040203.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

47

Vyvere, Yves Van De. "Stated preference decompositional modelling and residential choice". Geoforum 25, n.º 2 (maio de 1994): 189–202. http://dx.doi.org/10.1016/0016-7185(94)90015-9.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

48

Collins, Andrew T., Stephane Hess e John M. Rose. "Choice modelling with search and sort data from an interactive choice experiment". Transportation Research Part E: Logistics and Transportation Review 56 (setembro de 2013): 36–45. http://dx.doi.org/10.1016/j.tre.2013.05.002.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

49

Hensher, D. A. "Automobile-type choice: A note on alternative specifications for discrete-choice modelling". Transportation Research Part B: Methodological 20, n.º 5 (outubro de 1986): 429–33. http://dx.doi.org/10.1016/0191-2615(86)90014-7.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

50

Pasquier, Nicolas, e Sujoy Chatterjee. "Customer Choice Modelling: A Multi-Level Consensus Clustering Approach". Annals of Emerging Technologies in Computing 5, n.º 2 (1 de abril de 2021): 103–20. http://dx.doi.org/10.33166/aetic.2021.02.009.

Texto completo da fonte

Resumo:

Customer Choice Modeling aims to model the decision-making process of customers, or segments of customers, through their choices and preferences identified by the analysis of their behaviors in one or more specific contexts. Clustering techniques are used in this context to identify patterns in their choices and preferences, to define segments of customers with similar behaviors, and to model how customers of different segments respond to competing products and offers. However, data clustering is an unsupervised learning task by nature, that is the grouping of customers with similar behaviors in clusters must be performed without prior knowledge about the nature and the number of intrinsic groups of data instances, i.e., customers, in the data space. Thus, the choice of both the clustering algorithm used and its parameterization, and of the evaluation method used to assess the relevance of the resulting clusters are central issues. Consensus clustering, or ensemble clustering, aims to solve these issues by combining the results of different clustering algorithms and parameterizations to generate a more robust and relevant final clustering result. We present a Multi-level Consensus Clustering approach combining the results of several clustering algorithmic configurations to generate a hierarchy of consensus clusters in which each cluster represents an agreement between different clustering results. A closed sets based approach is used to identified relevant agreements, and a graphical hierarchical representation of the consensus cluster construction process and their inclusion relationships is provided to the end-user. This approach was developed and experimented in travel industry context with Amadeus SAS. Experiments show how it can provide a better segmentation, and refine the customer segments by identifying relevant sub-segments represented as sub-clusters in the hierarchical representation, for Customer Choice Modeling. The clustering of travelers was able to distinguish relevant segments of customers with similar needs and desires (i.e., customers purchasing tickets according to different criteria, like price, duration of flight, lay-over time, etc.) and at different levels of precision, which is a major issue for improving the personalization of recommendations in flight search queries.

Estilos ABNT, Harvard, Vancouver, APA, etc.

Artigos de revistas sobre o tema "Choice modelling"

Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos