TY - JOUR
T1 - Neural features of video topical relevance
AU - Pinto, Luisa R
AU - Moshfeghi, Yashar
AU - Pollick, Frank E
AU - Jose, Joemon M
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - information retrieval
KW - video
UR - http://www.neurois.org/papers/2014/2014%20Proceedings%20Gmunden%20Retreat%20on%20NeuroIS%20paper%2028.pdf
M3 - Article
SP - 51
JO - NeuroIS
JF - NeuroIS
ER -