Recommending Products and Services Belonging to Online Businesses Using Intelligent Agents

Published Online:https://doi.org/10.1287/serv.2017.0188

References

  • Alexandrescu A, Butincu CN, Craus M (2016) Improving after-sales services using mobile agents in a service-oriented architecture. Borangiu T, Dragoicea M, Nóvoa H, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 247 (Springer International Publishing, Cham, Switzerland), 444–456.CrossrefGoogle Scholar
  • Boniface M, Nasser B, Papay J, Phillips SC, Servin A, Yang X, Kousiouris G (2010) Platform-as-a-service architecture for real-time quality of service management in clouds. Internet Web Appl. Services (ICIW), 2010 Fifth Internat. Conf. (IEEE, Barcelona, Spain), 155–160.Google Scholar
  • Castelluccia C, Kaafar MA, Tran MD (2012) Betrayed by your ads! Reconstructing user profiles from targeted ads. Fischer-Hübner S, Wright M, eds. Proc. 12th Internat. Conf. Privacy Enhancing Tech. (Springer-Verlag, Berlin), 1–17.Google Scholar
  • Dave V, Guha S, Zhang Y (2012) Measuring and fingerprinting click-spam in ad networks. ACM SIGCOMM Comput. Comm. Rev. 42(4): 175–186.CrossrefGoogle Scholar
  • Davis H (2006) Google Advertising Tools: Cashing in with AdSense, AdWords, and the Google APIs (O’Reilly Media, Sebastopol, CA).Google Scholar
  • Demirkan H, Kauffman RJ, Vayghan JA, Fill HG, Karagiannis D, Maglio PP (2009) Service-oriented technology and management: Perspectives on research and practice for the coming decade. Electronic Commerce Res. Appl. 7(4):356–376.CrossrefGoogle Scholar
  • Hostler RE, Yoon VY, Guimaraes T (2012) Recommendation agent impact on consumer online shopping: The movie magic case study. Expert Systems Appl. 39(3):2989–2999.CrossrefGoogle Scholar
  • Legnani E, Cavalieri S, Ierace S (2009) A framework for the configuration of after-sales service processes. Production Planning Control 20(2): 113–124.CrossrefGoogle Scholar
  • Lin FR, Maglio PP, Shaw MJ (2014) Introduction to service science, management, and engineering (SSME) minitrack. System Sci. (HICSS), 2014 47th Hawaii Internat. Conf. (IEEE, Waikoloa, HI), 1240–1240.Google Scholar
  • Maglio PP, Spohrer J (2008) Fundamentals of service science. J. Acad. Marketing Sci. 36(1):18–20.CrossrefGoogle Scholar
  • Mei T, Zhang R, Hua XS (2011) Internet multimedia advertising: Techniques and technologies. Proc. 19th ACM Internat. Conf. Multimedia (ACM, New York), 627–628.Google Scholar
  • Mookerjee R, Kumar S, Mookerjee VS (2012) To show or not show: Using user profiling to manage Internet advertisement campaigns at Chitika. Interfaces 42(5):449–464.LinkGoogle Scholar
  • Onofrei G, Archip A (2016) Achieving better recommendations with overclassification: Practical considerations. 20th Internat. Conf. System Theory, Control Comput. (IEEE, Sinaia, Romania), 410–416.Google Scholar
  • Pandey HM, Shukla A, Chaudhary A, Mehrotra D (2016) Evaluation of genetic algorithm’s selection methods. Satapathy S, Mandal J, Udgata S, Bheteja V, eds. Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, Vol. 434 (Springer, New Delhi, India), 731–738.CrossrefGoogle Scholar
  • Prahalad CK, Ramaswamy V (2004) The Future of Competition (Harvard Business School Press, Boston).Google Scholar
  • Prahalad CK, Ramaswamy V (2013) The Future of Competition: Co-Creating Unique Value with Customers (Harvard Business Press, Boston).Google Scholar
  • Puiu VG, Alexandrescu A (2016) An event-driven service-oriented architecture for performing actions on business organization items. Borangiu T, Dragoicea M, Nóvoa H, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 247 (Springer International Publishing, Cham, Switzerland), 432–443.CrossrefGoogle Scholar
  • Spohrer J, Maglio PP (2008) The emergence of service science: Toward systematic service innovations to accelerate co-creation of value. Production Oper. Management 17(3):238–246.CrossrefGoogle Scholar
  • Sundaram D, Zhou W, Piramuthu S, Pienaar S (2010) Knowledge-based RFID enabled web service architecture for supply chain management. Expert Systems Appl. 37(12):7937–7946.CrossrefGoogle Scholar
  • Zhang L, Guan Y (2008) Detecting click fraud in pay-per-click streams of online advertising networks. Distributed Comput. Systems, 2008 (ICDCS’08), 28th Internat. Conf. (IEEE, Beijing), 77–84.Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.