Skip to main content
Erschienen in: Soft Computing 9/2013

01.09.2013 | Methodologies and Application

Prediction of members’ repurchase rates with time weight function

verfasst von: Chun-Hao Chen, Rui-Dong Chiang, Yi-Hsin Wang, Huan-Chen Chu

Erschienen in: Soft Computing | Ausgabe 9/2013

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Customer relationship management (CRM) leverages historical users’ behaviors to dawn effort of enhancing customer satisfaction and loyalty. Thus, constructing a successful customer profile plays a critical role in CRM. In this study, we are expected to predict the repurchase rates for the registered members at the specific category of e-shop. However, customers’ preferences change over time. To capture the preference drifts of the members, we propose a novel and simple time function to increase/decrease the weight of the old data in evaluating various members’ past behaviors. Then, we construct a repurchase index with time factor (RIT) model to effectively predict repurchase rates. The marketers of e-shop can thus target the members with high repurchase rates. Experimental results with a real dataset have demonstrated that this RIT model can be practically implemented and provide satisfactory results.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Blanco-Fernández Y, Pazos-Arias JJ, López-Nores M, Gil-Solla A, Ramos-Cabrer M, García-Duque J, Fernández-Vilas A, Díaz-Redondo RP (2010) Incentivized provision of metadata, semantic reasoning and time-driven filtering: making a puzzle of personalized e-commerce. Expert Syst Appl 37(1):61–69. doi:10.1016/j.eswa.2009.05.022 CrossRef Blanco-Fernández Y, Pazos-Arias JJ, López-Nores M, Gil-Solla A, Ramos-Cabrer M, García-Duque J, Fernández-Vilas A, Díaz-Redondo RP (2010) Incentivized provision of metadata, semantic reasoning and time-driven filtering: making a puzzle of personalized e-commerce. Expert Syst Appl 37(1):61–69. doi:10.​1016/​j.​eswa.​2009.​05.​022 CrossRef
Zurück zum Zitat Ding Y, Li X (2005) Time weight collaborative filtering. Paper presented at the proceedings of the 14th ACM international conference on Information and knowledge management Ding Y, Li X (2005) Time weight collaborative filtering. Paper presented at the proceedings of the 14th ACM international conference on Information and knowledge management
Zurück zum Zitat Lee J, Podlaseck M, Schonberg E, Hoch R (2001) Visualization and analysis of clickstream data of online stores for understanding web merchandising. Data Min Knowl Disc 5(1):59–84. doi:10.1023/A:1009843912662 CrossRef Lee J, Podlaseck M, Schonberg E, Hoch R (2001) Visualization and analysis of clickstream data of online stores for understanding web merchandising. Data Min Knowl Disc 5(1):59–84. doi:10.​1023/​A:​1009843912662 CrossRef
Zurück zum Zitat Ma S, Li X, Ding Y, Orlowska M (2007) A recommender system with interest-drifting. In: Benatallah B, Casati F, Georgakopoulos D, Bartolini C, Sadiq W, Godart C (eds) Web information systems engineering—WISE 2007, vol 4831. Lecture Notes in Computer ScienceSpringer, Berlin, pp 633–642. doi:10.1007/978-3-540-76993-4_55 CrossRef Ma S, Li X, Ding Y, Orlowska M (2007) A recommender system with interest-drifting. In: Benatallah B, Casati F, Georgakopoulos D, Bartolini C, Sadiq W, Godart C (eds) Web information systems engineering—WISE 2007, vol 4831. Lecture Notes in Computer ScienceSpringer, Berlin, pp 633–642. doi:10.​1007/​978-3-540-76993-4_​55 CrossRef
Zurück zum Zitat Piton T, Blanchard J, Briand H, Guillet F (2009) Domain driven data mining to improve promotional campaign ROI and select marketing channels. Paper presented at the proceedings of the 18th ACM conference on Information and knowledge management Piton T, Blanchard J, Briand H, Guillet F (2009) Domain driven data mining to improve promotional campaign ROI and select marketing channels. Paper presented at the proceedings of the 18th ACM conference on Information and knowledge management
Zurück zum Zitat Xiang L, Yang Q (2009) Time-dependent models in collaborative filtering based recommender system. Paper presented at the proceedings of the 2009 IEEE/WIC/ACM international joint conference on web intelligence and intelligent agent technology, vol 01 Xiang L, Yang Q (2009) Time-dependent models in collaborative filtering based recommender system. Paper presented at the proceedings of the 2009 IEEE/WIC/ACM international joint conference on web intelligence and intelligent agent technology, vol 01
Zurück zum Zitat Yada K (2006) CODIRO: A new system for obtaining data concerning consumer behavior based on data factors of high interest determined by the analyst. Soft Comput 11(8):811–817. doi:10.1007/s00500-006-0123-1 CrossRef Yada K (2006) CODIRO: A new system for obtaining data concerning consumer behavior based on data factors of high interest determined by the analyst. Soft Comput 11(8):811–817. doi:10.​1007/​s00500-006-0123-1 CrossRef
Metadaten
Titel
Prediction of members’ repurchase rates with time weight function
verfasst von
Chun-Hao Chen
Rui-Dong Chiang
Yi-Hsin Wang
Huan-Chen Chu
Publikationsdatum
01.09.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 9/2013
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-013-0987-9

Weitere Artikel der Ausgabe 9/2013

Soft Computing 9/2013 Zur Ausgabe