Neural features of video topical relevance

Luisa R Pinto, Yashar Moshfeghi, Frank E Pollick, Joemon M Jose

Research output: Contribution to journalArticlepeer-review


For over 50 years, Information Retrieval Systems (IRSs) have been helping users to find relevant information. However, IRSs often retrieve non-relevant information causing user dissatisfaction. Relevance therefore has become a key concept for IRS building and evaluation. Research in this area used to be centred in a system view of relevance, but since it has become widely accepted that relevance is a human perception (Saracevic, 1996) , the research on relevance has moved to a user view of relevance (Mizzaro, 1997), focusing on relevance in the world of the user - such as the way users assess relevance depending on the problem at hand, context and criteria.
Original languageEnglish
Pages (from-to)51
Number of pages1
Publication statusPublished - 2014


  • information retrieval
  • video


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