A Method for Dealing with Data Sparsity and Cold-Start Limitations in Service Recommendation Using Personalized Preferences

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 1st International Conference on Cognitive Computing, ICCC 2017
EditorsPaul P. Maglio, Wu Chou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-79
Number of pages8
ISBN (Electronic)9781538620083
DOIs
StatePublished - Sep 7 2017
Event1st IEEE International Conference on Cognitive Computing, ICCC 2017 - Honolulu, United States
Duration: Jun 25 2017Jun 30 2017

Publication series

NameProceedings - 2017 IEEE 1st International Conference on Cognitive Computing, ICCC 2017

Conference

Conference1st IEEE International Conference on Cognitive Computing, ICCC 2017
Country/TerritoryUnited States
CityHonolulu
Period6/25/176/30/17

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Experimental and Cognitive Psychology

Keywords

  • Cold-start
  • Collaborative filtering
  • Data sparsity
  • Non-functional attributes
  • Personalized preferences
  • Service recommendation

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