• Media type: E-Book
  • Title: Social Information Access : Systems and Technologies
  • Contributor: Brusilovsky, Peter [Editor]; He, Daqing [Editor]
  • Published: Cham: Springer, 2018
  • Published in: Lecture notes in computer science ; 10100
    Bücher
    Computer Science
  • Extent: Online-Ressource (VIII, 655 p. 133 illus, online resource)
  • Language: English
  • DOI: 10.1007/978-3-319-90092-6
  • ISBN: 9783319900926
  • Identifier:
  • Keywords: Computer science ; Computer Science ; Information storage and retrieval ; Data mining ; User interfaces (Computer systems) ; Application software ; Computers and civilization ; Social sciences ; Information storage and retrieval systems. ; Human-computer interaction.
  • Origination:
  • Footnote:
  • Description: Social information access is defined as a stream of research that explores methods for organizing the past interactions of users in a community in order to provide future users with better access to information. Social information access covers a wide range of different technologies and strategies that operate on a different scale, which can range from a small closed corpus site to the whole Web. The 16 chapters included in this book provide a broad overview of modern research on social information access. In order to provide a balanced coverage, these chapters are organized by the main types of information access (i.e., social search, social navigation, and recommendation) and main sources of social information

    Social Information Access: Definition and Classification -- Privacy in Social Information Access -- Social Q&A -- Collaborative Information Search -- Social Navigation -- Tag-Based Navigation and Visualization -- Social Search -- Network-Based Social Search -- Accessing Information with Tags: Search and Ranking -- Rating-Based Collaborative Filtering: Algorithms and Evaluation -- Recommendations Based on Social Links -- Tag-Based Recommendation -- From Opinions to Recommendations -- Recommending Based on Implicit Feedback -- People Recommendation on Social Media -- Location Recommendation with Social Media Data