Supporting Context-Aware Media Recommendations for Smart Phones

ABSTRACT

A context-aware media recommendation platform, CoMeR, uses an N × M-dimensional model and a hybrid processing approach to support media recommendation, adaptation, and delivery for smart phones.The essence of the model is that it considers context information, ranging from user preference and situation to device and network capability, as input for both content and presentation recommendations. It then generates multidimensional output including content rating and media modality and format as a result of the recommendation.

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INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.5 COMPUTER SYSTEM IMPLEMENTATION
      C.5.3 Microcomputers
          Subjects: Portable devices (e.g., laptops, personal digital assistants)

Additional Classification:
  C. Computer Systems Organization
  C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS
      Subjects: Real-time and embedded systems

  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software
          Subjects: User profiles and alert services
          Nouns: World Wide Web (WWW)

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Semantic networks
  I.5 PATTERN RECOGNITION
      I.5.4 Applications

Keywords:
media recommendation, context-aware, ontology, CoMeR